{"id":10251,"date":"2022-02-21T09:23:03","date_gmt":"2022-02-21T09:23:03","guid":{"rendered":"https:\/\/www.inspiredbybeatz.com\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/"},"modified":"2026-06-03T22:29:42","modified_gmt":"2026-06-03T22:29:42","slug":"chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google","status":"publish","type":"post","link":"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/","title":{"rendered":"Chanter, Bourdonner, Siffler : Ce qui se cache derri\u00e8re Hum to Search de Google"},"content":{"rendered":"<p>Voici la traduction fran\u00e7aise du HTML fourni, en respectant toutes les r\u00e8gles sp\u00e9cifi\u00e9es :<\/p>\n<p>\u00ab\u00a0`html<\/p>\n<style>.postid-1703 .content > .content_inner > .container,.postid-1703 .content > .content_inner > .full_width{background-color:#000000;}<\/style>\n<p>\n[vc_row css_animation=&#8220;&#8220; row_type=&#8220;row&#8220; use_row_as_full_screen_section=&#8220;no&#8220; type=&#8220;full_width&#8220; angled_section=&#8220;no&#8220; text_align=&#8220;left&#8220; background_image_as_pattern=&#8220;without_pattern&#8220;][vc_column][vc_column_text]\n<p style=\"display:inline-block;background:#75B2A9;color:#000;padding:4px 14px;border-radius:20px;font-size:0.82em;font-weight:600;margin-bottom:14px;letter-spacing:0.5px;\">&#9654; 5:48 temps de lecture<\/p>\n<p><strong>Tu as une m\u00e9lodie en t\u00eate. Elle tourne en boucle depuis des heures, tu connais le refrain par c\u0153ur, tu peux le fredonner. Mais le nom de la chanson ? Disparu. L&rsquo;interpr\u00e8te ? Aucune id\u00e9e. Google a pr\u00e9sent\u00e9 en 2020 une fonctionnalit\u00e9 qui r\u00e9sout pr\u00e9cis\u00e9ment ce probl\u00e8me : Hum to Search. Tu fredonnes, siffles ou chantes dans ton smartphone \u2013 et Google reconna\u00eet la chanson. La technologie derri\u00e8re est plus fascinante que tu ne le penses.<\/strong><\/p>\n<div style=\"position:relative;margin:4px 0 24px;padding:24px 28px 20px;background:rgba(117,178,169,0.06);border-radius:12px;border:1px solid rgba(117,178,169,0.4);box-shadow:0 0 20px rgba(117,178,169,0.2), 0 0 40px rgba(117,178,169,0.1), inset 0 0 30px rgba(117,178,169,0.03);overflow:hidden;\">\n<h2 style=\"margin:0 0 16px 0;font-size:1.4em;color:#75B2A9;letter-spacing:1px;\">DROP<\/h2>\n<ul style=\"margin:0;padding:0 0 0 20px;list-style:none;\">\n<li style=\"position:relative;padding:6px 0 6px 8px;line-height:1.6;color:rgba(255,255,255,0.85);border-bottom:1px solid rgba(117,178,169,0.12);\"><span style=\"position:absolute;left:-16px;color:#75B2A9;font-weight:700;\">&#x25B8;<\/span>  Google Hum to Search reconna\u00eet les chansons \u00e0 partir de m\u00e9lodies fredonn\u00e9es, chant\u00e9es ou siffl\u00e9es<\/li>\n<li style=\"position:relative;padding:6px 0 6px 8px;line-height:1.6;color:rgba(255,255,255,0.85);border-bottom:1px solid rgba(117,178,169,0.12);\"><span style=\"position:absolute;left:-16px;color:#75B2A9;font-weight:700;\">&#x25B8;<\/span>  10 \u00e0 15 secondes suffisent. La hauteur et le tempo n&rsquo;ont pas besoin d&rsquo;\u00eatre parfaits.<\/li>\n<li style=\"position:relative;padding:6px 0 6px 8px;line-height:1.6;color:rgba(255,255,255,0.85);border-bottom:1px solid rgba(117,178,169,0.12);\"><span style=\"position:absolute;left:-16px;color:#75B2A9;font-weight:700;\">&#x25B8;<\/span>  Base de donn\u00e9es avec plus de 500 000 chansons. Neural Embeddings au lieu de l&rsquo;audio-fingerprinting classique.<\/li>\n<li style=\"position:relative;padding:6px 0 6px 8px;line-height:1.6;color:rgba(255,255,255,0.85);border-bottom:1px solid rgba(117,178,169,0.12);\"><span style=\"position:absolute;left:-16px;color:#75B2A9;font-weight:700;\">&#x25B8;<\/span>  Int\u00e9gr\u00e9 depuis juillet 2024 \u00e0 YouTube Music \u2013 iOS et Android.<\/li>\n<li style=\"position:relative;padding:6px 0 6px 8px;line-height:1.6;color:rgba(255,255,255,0.85);\"><span style=\"position:absolute;left:-16px;color:#75B2A9;font-weight:700;\">&#x25B8;<\/span>  Circle to Search apportera cette fonctionnalit\u00e9 sur plus de 580 millions d&rsquo;appareils Android d&rsquo;ici 2026.<\/li>\n<\/ul>\n<\/div>\n<p>&nbsp;<\/p>\n<h2>Comment fonctionne Hum to Search<\/h2>\n<p>&nbsp;<\/p>\n<p>Le principe est simple\u202f: tu ouvres l\u2019application Google, tu appuies sur l\u2019ic\u00f4ne du microphone et tu dis \u00ab\u202fQuel est ce morceau\u202f?\u202f\u00bb. Ensuite, tu fredonnes, chantes ou siffles la m\u00e9lodie pendant 10 \u00e0 15\u202fsecondes. Google te propose une liste des correspondances les plus probables \u2013 incluant l\u2019interpr\u00e8te, les paroles et le clip vid\u00e9o. Plus tu captes la m\u00e9lodie, meilleurs seront les r\u00e9sultats. Mais il n\u2019est pas n\u00e9cessaire que ce soit parfait.<\/p>\n<p>Ce qui est particulier\u202f: tu n\u2019as pas besoin de toucher les notes. M\u00eame pas du tout. Tu peux fredonner faux, ralentir le tempo, manquer compl\u00e8tement la tonalit\u00e9 \u2013 le syst\u00e8me reconna\u00eet la m\u00e9lodie quand m\u00eame. Qui a d\u00e9j\u00e0 eu un ver d\u2019oreille tenace que personne n\u2019a pu identifier sait ce que cela vaut.<\/p>\n<p>Google a pr\u00e9sent\u00e9 cette fonctionnalit\u00e9 en octobre\u202f2020. Sur Android, elle \u00e9tait imm\u00e9diatement disponible en plus de 20\u202flangues, sur iOS d\u2019abord uniquement en anglais. Aucun t\u00e9l\u00e9chargement s\u00e9par\u00e9 n\u2019est n\u00e9cessaire, aucune application suppl\u00e9mentaire. L\u2019application Google suffit.<\/p>\n<div style=\"margin:24px 0;border-radius:8px;overflow:hidden;border:1px solid rgba(117,178,169,0.15);\">\n<div class=\"brlbs-cmpnt-container brlbs-cmpnt-content-blocker brlbs-cmpnt-with-individual-styles\" data-borlabs-cookie-content-blocker-id=\"youtube-content-blocker\" data-borlabs-cookie-content=\"PGlmcmFtZSBzcmM9Imh0dHBzOi8vd3d3LnlvdXR1YmUtbm9jb29raWUuY29tL2VtYmVkL0RXNjFQcEtKR204IiB3aWR0aD0iMTAwJSIgaGVpZ2h0PSI0NTAiIGZyYW1lYm9yZGVyPSIwIiBhbGxvd2Z1bGxzY3JlZW49ImFsbG93ZnVsbHNjcmVlbiI+PC9pZnJhbWU+\">\n<div class=\"brlbs-cmpnt-cb-preset-c brlbs-cmpnt-cb-youtube\">\n<div class=\"brlbs-cmpnt-cb-thumbnail\" style=\"background-image: url('https:\/\/www.inspiredbybeatz.com\/wp-content\/uploads\/borlabs-cookie\/1\/yt_DW61PpKJGm8_hqdefault.jpg')\"><\/div>\n<div class=\"brlbs-cmpnt-cb-main\">\n<div class=\"brlbs-cmpnt-cb-play-button\"><\/div>\n<div class=\"brlbs-cmpnt-cb-content\">\n<p class=\"brlbs-cmpnt-cb-description\">Tu vois actuellement un contenu de remplacement de <strong>YouTube<\/strong>. Pour acc\u00e9der au vrai contenu, clique sur le bouton ci\u2011dessous. Note que des donn\u00e9es seront transmises \u00e0 des tiers.<\/p>\n<p> <a class=\"brlbs-cmpnt-cb-provider-toggle\" href=\"#\" data-borlabs-cookie-show-provider-information role=\"button\">Plus d&rsquo;informations<\/a> <\/div>\n<div class=\"brlbs-cmpnt-cb-buttons\"> <a class=\"brlbs-cmpnt-cb-btn\" href=\"#\" data-borlabs-cookie-unblock role=\"button\">D\u00e9bloquer le contenu<\/a> <a class=\"brlbs-cmpnt-cb-btn\" href=\"#\" data-borlabs-cookie-accept-service role=\"button\" style=\"display: inherit\">Accepter le service requis et d\u00e9bloquer le contenu<\/a> <\/div>\n<\/div>\n<\/div>\n<\/div>\n<p style=\"font-size:10px;color:rgba(255,255,255,0.25);padding:8px 12px;margin:0;background:rgba(0,0,0,0.5);\">D\u00e9mo officielle de Google\u202f: 10\u201115\u202fsecondes de fredonnement suffisent pour une reconnaissance. YouTube \/ Google<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<h2>Les embeddings neuronaux plut\u00f4t que le fingerprinting<\/h2>\n<p>&nbsp;<\/p>\n<p>Pour comprendre pourquoi Hum to Search fonctionne, un d\u00e9tour par Shazam s\u2019impose. Shazam utilise le fingerprinting audio. L\u2019application enregistre un extrait du morceau en cours, g\u00e9n\u00e8re une sorte d\u2019empreinte acoustique \u00e0 partir des pics de fr\u00e9quence et la compare \u00e0 une base de donn\u00e9es de millions de titres. Extr\u00eamement rapide, extr\u00eamement pr\u00e9cis \u2013 mais uniquement si l\u2019enregistrement original est diffus\u00e9. Face \u00e0 une m\u00e9lodie fredonn\u00e9e, Shazam reste impuissant.<\/p>\n<p>Google emprunte une voie radicalement diff\u00e9rente. Hum to Search s\u2019appuie sur un r\u00e9seau de neurones entra\u00een\u00e9 avec des paires d\u2019extraits chant\u00e9s et d\u2019enregistrements studio. Le mod\u00e8le transforme chaque entr\u00e9e audio en un vecteur math\u00e9matique \u2013 un *embedding*. Ce vecteur capture l\u2019essence de la m\u00e9lodie : ni le timbre, ni les instruments, ni la production. Seule la succession des notes.<\/p>\n<p>Selon le blog Google Research, le syst\u00e8me a d\u2019abord \u00e9t\u00e9 entra\u00een\u00e9 avec une *Triplet Loss*, puis optimis\u00e9 gr\u00e2ce \u00e0 une *Confidence-Based Loss Function* d\u00e9velopp\u00e9e en interne. R\u00e9sultat : le mod\u00e8le reconna\u00eet les m\u00e9lodies, qu\u2019elles soient interpr\u00e9t\u00e9es par des professionnels, mal fredonn\u00e9es ou souffl\u00e9es dans un peigne. Le mod\u00e8le d\u2019extraction de hauteur SPICE de Google fournit des donn\u00e9es d\u2019entra\u00eenement synth\u00e9tiques \u2013 permettant ainsi au syst\u00e8me d\u2019identifier des m\u00e9lodies que personne n\u2019a jamais chant\u00e9es. Ceux qui comprennent <a href=\"https:\/\/www.inspiredbybeatz.com\/fr\/musique-ia-2026-qui-a-encore-besoin-de-producteurs\/\" style=\"color:#75B2A9;text-decoration:none;border-bottom:1px solid rgba(117,178,169,0.3);\">comment l\u2019IA produit de la musique aujourd\u2019hui<\/a> voient les parall\u00e8les : les machines apprennent \u00e0 saisir les motifs musicaux \u00e0 un niveau abstrait.<\/p>\n<div style=\"display:flex;gap:12px;margin:28px 0;flex-wrap:wrap;\">\n<div style=\"flex:1;min-width:120px;text-align:center;background:rgba(117,178,169,0.06);border-radius:10px;padding:20px 12px;border:1px solid rgba(117,178,169,0.2);box-shadow:0 0 15px rgba(117,178,169,0.1), 0 0 30px rgba(117,178,169,0.04);\">\n<div style=\"font-size:26px;font-weight:700;color:#fff;\">500.000+<\/div>\n<div style=\"font-size:10px;color:rgba(255,255,255,0.4);margin-top:4px;text-transform:uppercase;letter-spacing:1px;\">Titres dans la base<\/div>\n<\/div>\n<div style=\"flex:1;min-width:120px;text-align:center;background:rgba(117,178,169,0.06);border-radius:10px;padding:20px 12px;border:1px solid rgba(117,178,169,0.2);box-shadow:0 0 15px rgba(117,178,169,0.1), 0 0 30px rgba(117,178,169,0.04);\">\n<div style=\"font-size:26px;font-weight:700;color:#fff;\">10-15 Sek.<\/div>\n<div style=\"font-size:10px;color:rgba(255,255,255,0.4);margin-top:4px;text-transform:uppercase;letter-spacing:1px;\">Fredonner suffit<\/div>\n<\/div>\n<div style=\"flex:1;min-width:120px;text-align:center;background:rgba(117,178,169,0.06);border-radius:10px;padding:20px 12px;border:1px solid rgba(117,178,169,0.2);box-shadow:0 0 15px rgba(117,178,169,0.1), 0 0 30px rgba(117,178,169,0.04);\">\n<div style=\"font-size:26px;font-weight:700;color:#fff;\">580 Mio.+<\/div>\n<div style=\"font-size:10px;color:rgba(255,255,255,0.4);margin-top:4px;text-transform:uppercase;letter-spacing:1px;\">Appareils Android<\/div>\n<\/div>\n<\/div>\n<p style=\"font-size:10px;color:rgba(255,255,255,0.25);margin:-16px 0 24px 0;\">Sources : Google Research Blog (2020), Google Blog (2026)<\/p>\n<p>&nbsp;<\/p>\n<h2>Pourquoi Shazam ne peut pas rivaliser ici<\/h2>\n<p>&nbsp;<\/p>\n<p>Shazam excelle dans ce qu\u2019il fait. Une base de donn\u00e9es contenant environ onze millions de titres, une reconnaissance en quelques secondes, m\u00eame en pr\u00e9sence de bruits de fond dans un club ou dans une voiture. Mais Shazam a besoin de l\u2019enregistrement. Il compare des empreintes acoustiques \u2013 pics de fr\u00e9quence, motifs temporels, cartes de constellations. Sans l\u2019original, aucun r\u00e9sultat.<\/p>\n<p>Google r\u00e9sout un probl\u00e8me fondamentalement diff\u00e9rent. Pas \u00ab\u202fquel titre passe en ce moment\u202f?\u202f\u00bb mais \u00ab\u202fquel titre se trouve dans ma t\u00eate\u202f?\u202f\u00bb. La diff\u00e9rence est techniquement \u00e9norme. Une m\u00e9lodie fredonn\u00e9e ne comporte aucun instrument, aucune production, aucune voix de l\u2019artiste original. Ce n\u2019est qu\u2019une suite approximative de notes, filtr\u00e9e par votre m\u00e9moire et vos talents vocaux parfois douteux. Le mod\u00e8le doit ignorer tout cela et se concentrer sur la m\u00e9lodie principale.<\/p>\n<div style=\"margin:32px 0;padding:20px 24px;border-left:3px solid #75B2A9;background:transparent;box-shadow:-4px 0 15px rgba(117,178,169,0.15);\">\n<p style=\"font-size:1.15em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.5;margin:0;font-style:italic;\">Shazam r\u00e9pond \u00ab\u202fQue se joue en ce moment\u202f?\u202f\u00bb Google r\u00e9pond \u00ab\u202fQue se trouve dans ma t\u00eate\u202f?\u202f\u00bb<\/p>\n<\/div>\n<p>L\u2019id\u00e9e de la reconnaissance par fredonnement n\u2019est d\u2019ailleurs pas nouvelle. SoundHound proposait d\u00e9j\u00e0, avec Midomi, une fonction similaire d\u00e8s 2007. Google a toutefois propuls\u00e9 le concept en 2020 dans le grand public \u2013 gr\u00e2ce \u00e0 son int\u00e9gration directe dans la recherche Google, utilis\u00e9e quotidiennement par des milliards de personnes. C\u2019est la diff\u00e9rence d\u00e9cisive\u202f: ce n\u2019est pas la technologie seule, mais la port\u00e9e.<\/p>\n<div style=\"margin:24px 0;border-radius:8px;overflow:hidden;border:1px solid rgba(117,178,169,0.15);\"><img decoding=\"async\" src=\"https:\/\/www.inspiredbybeatz.com\/wp-content\/uploads\/2026\/03\/hum-to-search-smartphone-headphones.jpeg\" alt=\"Person mit Smartphone und Kopfh\u00f6rern nutzt Musikerkennung\" style=\"width:100%;height:auto;display:block;\"><\/p>\n<p style=\"font-size:10px;color:rgba(255,255,255,0.25);padding:8px 12px;margin:0;background:rgba(0,0,0,0.5);\">Fredonner plut\u00f4t que chercher\u202f: Google reconna\u00eet les m\u00e9lodies directement via l\u2019application smartphone. Pexels \/ Daniel Reche<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<h2>De YouTube Music \u00e0 Circle to Search<\/h2>\n<p>&nbsp;<\/p>\n<p>Depuis son lancement en octobre\u202f2020, Google a continuellement enrichi la fonction. Le jalon le plus important\u202f: en juillet\u202f2024, Hum to Search a \u00e9t\u00e9 enti\u00e8rement int\u00e9gr\u00e9 \u00e0 YouTube Music \u2013 sur iOS et Android. L\u2019avantage est \u00e9vident\u202f: apr\u00e8s la reconnaissance, vous pouvez lire le titre imm\u00e9diatement, l\u2019ajouter \u00e0 une playlist ou visionner le clip vid\u00e9o. Fini le d\u00e9tour par la recherche Google. Pour tous les acteurs de l\u2019<a href=\"https:\/\/www.inspiredbybeatz.com\/fr\/apple-contre-spotify-la-guerre-du-streaming-sintensifie\/\" style=\"color:#75B2A9;text-decoration:none;border-bottom:1px solid rgba(117,178,169,0.3);\">univers du streaming<\/a>, une v\u00e9ritable mise \u00e0 niveau.<\/p>\n<p>En 2026, la prochaine \u00e9tape est arriv\u00e9e\u202f: Circle to Search. Disponible sur les smartphones Pixel et la s\u00e9rie Samsung Galaxy S, il place Hum to Search directement sur l\u2019\u00e9cran d\u2019accueil. Aucun changement d\u2019application, aucun bouton micro \u00e0 chercher. Maintenez l\u2019\u00e9cran enfonc\u00e9, fredonnez, le tour est jou\u00e9. Selon Google, Circle to Search est d\u00e9sormais pr\u00e9sent sur plus de 580\u202fmillions d\u2019appareils Android.<\/p>\n<p>Avec Gemini, Circle to Search n\u2019analyse pas seulement la musique, mais aussi les objets, le texte et les images affich\u00e9s \u00e0 l\u2019\u00e9cran. Pour ceux qui ont r\u00e9guli\u00e8rement des m\u00e9lodies sans nom dans la t\u00eate, la reconnaissance musicale reste toutefois la partie la plus passionnante du dispositif.<\/p>\n<p>&nbsp;<\/p>\n<h2>Pourquoi c\u2019est plus qu\u2019un gadget<\/h2>\n<p>&nbsp;<\/p>\n<p>Hum to Search est un exemple parfait de la fa\u00e7on dont l\u2019IA transforme l\u2019industrie musicale \u2013 non pas par la production ou la composition, mais par la d\u00e9couverte. La technologie abaisse la barri\u00e8re entre \u00ab\u202fje connais la m\u00e9lodie\u202f\u00bb et \u00ab\u202fj\u2019entends le titre\u202f\u00bb. Cela semble anodin. Mais pour la mani\u00e8re dont nous trouvons et retrouvons la musique, c\u2019est un v\u00e9ritable changement de jeu.<\/p>\n<p>Pense \u00e0 toutes les chansons que tu as perdues au fil des ann\u00e9es. Des m\u00e9lodies d\u2019un film que tu as vu enfant. Un morceau qui passait dans un bar pendant tes vacances. Un refrain que quelqu\u2019un t\u2019a fredonn\u00e9. Jusqu\u2019ici tout \u00e9tait perdu d\u00e8s que Shazam ne pouvait plus aider. Maintenant, ta m\u00e9moire suffit.<\/p>\n<p>Si tu t\u2019int\u00e9resses \u00e0 la science des <a href=\"https:\/\/www.inspiredbybeatz.com\/fr\/vers-les-vers-doreille-pourquoi-votre-cerveau-fait-tourner-un-morceau-en-boucle\/\" style=\"color:#75B2A9;text-decoration:none;border-bottom:1px solid rgba(117,178,169,0.3);\">m\u00e9lodies ent\u00eatantes<\/a> ou si tu veux savoir comment <a href=\"https:\/\/www.inspiredbybeatz.com\/fr\/lo-fi-beats-pourquoi-votre-cerveau-devient-productif-au-rythme-du-chillhop\/\" style=\"color:#75B2A9;text-decoration:none;border-bottom:1px solid rgba(117,178,169,0.3);\">les Lo\u2011Fi Beats agissent sur le cerveau<\/a>, tu trouveras dans Hum to Search la prochaine pi\u00e8ce du puzzle\u202f: la musique est plus ancr\u00e9e en nous que nous ne le pensons. Et la technologie la fait enfin ressortir.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8220;&#8220; row_type=&#8220;row&#8220; use_row_as_full_screen_section=&#8220;no&#8220; type=&#8220;full_width&#8220; angled_section=&#8220;no&#8220; text_align=&#8220;left&#8220; background_image_as_pattern=&#8220;without_pattern&#8220;][vc_column][vc_column_text]\n<div style=\"margin:24px 0;padding:18px 22px;background:rgba(117,178,169,0.04);border-radius:10px;border:1px solid rgba(117,178,169,0.2);\">\n<div style=\"font-size:13px;color:#75B2A9;font-weight:600;margin-bottom:8px;font-style:italic;\">4 titres que tu connais \u2013 mais que tu ne pouvais pas nommer<\/div>\n<div style=\"display:flex;flex-direction:column;gap:6px;\">\n<a href=\"https:\/\/open.spotify.com\/track\/0VjIjW4GlUZAMYd2vXMi3b\" target=\"_blank\" style=\"display:flex;justify-content:space-between;align-items:center;padding:8px 0;border-bottom:1px solid rgba(117,178,169,0.06);text-decoration:none;\"><br \/>\n<span style=\"color:rgba(255,255,255,0.8);font-size:13px;font-weight:500;flex:1;text-align:left;\">The Weeknd &#8211; Blinding Lights<\/span><br \/>\n<span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">&#9654; Spotify<\/span><br \/>\n<\/a><br \/>\n<a href=\"https:\/\/open.spotify.com\/track\/5nujrmhLynf4yMoMtj8AQF\" target=\"_blank\" style=\"display:flex;justify-content:space-between;align-items:center;padding:8px 0;border-bottom:1px solid rgba(117,178,169,0.06);text-decoration:none;\"><br \/>\n<span style=\"color:rgba(255,255,255,0.8);font-size:13px;font-weight:500;flex:1;text-align:left;\">Dua Lipa &#8211; Levitating<\/span><br \/>\n<span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">&#9654; Spotify<\/span><br \/>\n<\/a><br \/>\n<a href=\"https:\/\/open.spotify.com\/track\/4LRPiXqCikLlN15c3yImP7\" target=\"_blank\" style=\"display:flex;justify-content:space-between;align-items:center;padding:8px 0;border-bottom:1px solid rgba(117,178,169,0.06);text-decoration:none;\"><br \/>\n<span style=\"color:rgba(255,255,255,0.8);font-size:13px;font-weight:500;flex:1;text-align:left;\">Harry Styles &#8211; As It Was<\/span><br \/>\n<span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px\n\n\n<div style=\"margin-top:40px;padding:28px 25px 8px;background:rgba(117,178,169,0.06);border-radius:12px;border:1px solid rgba(117,178,169,0.4);box-shadow:0 0 20px rgba(117,178,169,0.2), 0 0 40px rgba(117,178,169,0.1), inset 0 0 30px rgba(117,178,169,0.03);\">\n<h2 style=\"margin:0 0 8px 0;font-size:1.3em;color:#75B2A9;letter-spacing:1px;\">Q&amp;A apr\u00e8s le spectacle<\/h2>\n<p style=\"margin:0 0 16px;font-size:0.85em;color:rgba(255,255,255,0.4);\">Clique sur une question pour d\u00e9plier la r\u00e9ponse.<\/p>\n<details style=\"margin:0;padding:0;border-bottom:1px solid rgba(117,178,169,0.12);background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">Hum to Search fonctionne-t-il aussi hors ligne\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Non. La reconnaissance s\u2019effectue via les serveurs de Google \u2013 tu as besoin d\u2019une connexion Internet active. Ton fredonnement est t\u00e9l\u00e9charg\u00e9 sous forme de fichier audio, transform\u00e9 en vecteur math\u00e9matique et compar\u00e9 \u00e0 la base de donn\u00e9es. Sans r\u00e9seau, aucun r\u00e9sultat.<\/div>\n<\/details>\n<details style=\"margin:0;padding:0;border-bottom:1px solid rgba(117,178,169,0.12);background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">\u00c0 quel point faut\u2011il \u00eatre pr\u00e9cis dans la m\u00e9lodie\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Pas du tout. Le r\u00e9seau neuronal a \u00e9t\u00e9 entra\u00een\u00e9 \u00e0 reconna\u00eetre les m\u00e9lodies ind\u00e9pendamment de la hauteur, du tempo et du timbre. Tu peux fredonner dans la mauvaise tonalit\u00e9, ralentir le tempo ou omettre certaines notes. Tant que la m\u00e9lodie de base reste reconnaissable, Google trouve le titre.<\/div>\n<\/details>\n<details style=\"margin:0;padding:0;border-bottom:1px solid rgba(117,178,169,0.12);background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">La fonction fonctionne\u2011t\u2011elle aussi en allemand\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Oui. Sur Android, Hum to Search \u00e9tait disponible d\u00e8s le d\u00e9part en plus de 20 langues, dont l\u2019allemand. La commande vocale est \u00ab\u202fQuel est ce morceau\u202f?\u202f\u00bb \u2013 puis tu fredonnes. Sur iOS, la fonction \u00e9tait d\u2019abord uniquement en anglais, mais elle a depuis \u00e9t\u00e9 \u00e9largie.<\/div>\n<\/details>\n<details style=\"margin:0;padding:0;border-bottom:1px solid rgba(117,178,169,0.12);background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">Quelle est la diff\u00e9rence entre Hum to Search et Shazam\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Shazam identifie les titres qui sont en cours de lecture \u2013 \u00e0 la radio, en bo\u00eete, en arri\u00e8re\u2011plan. Shazam a besoin de l\u2019enregistrement original. Google Hum to Search identifie les titres qui ne jouent que dans ta t\u00eate \u2013 \u00e0 partir d\u2019une m\u00e9lodie fredonn\u00e9e, chant\u00e9e ou siffl\u00e9e. Sur le plan technique\u202f: Shazam utilise l\u2019audio\u2011fingerprinting, Google utilise les neural embeddings.<\/div>\n<\/details>\n<details style=\"margin:0;padding:0;border-bottom:1px solid rgba(117,178,169,0.12);background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">Puis\u2011je utiliser Hum to Search dans YouTube Music\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Oui, depuis juillet\u202f2024 la fonction est enti\u00e8rement int\u00e9gr\u00e9e \u00e0 YouTube Music \u2013 sur iOS et Android. Tu appuies sur l\u2019ic\u00f4ne de recherche, puis sur le symbole d\u2019onde, et tu fredonnes. Le titre identifi\u00e9 peut \u00eatre lu imm\u00e9diatement ou ajout\u00e9 \u00e0 la playlist.<\/div>\n<\/details>\n<details style=\"margin:0;padding:0;background:transparent;\">\n<summary style=\"display:flex;align-items:center;justify-content:flex-start;gap:12px;padding:14px 4px;cursor:pointer;list-style:none;font-size:1.02em;font-weight:600;color:rgba(255,255,255,0.9);line-height:1.4;text-align:left;\">Combien de titres le syst\u00e8me peut\u2011il reconna\u00eetre\u202f?<\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">La base de donn\u00e9es de Google comprend, selon le blog de recherche, plus de 500\u202f000 titres. \u00c0 titre de comparaison\u202f: Shazam en poss\u00e8de plus de onze millions. Mais le syst\u00e8me de Google r\u00e9sout un autre probl\u00e8me \u2013 il ne compare pas d\u2019enregistrements, mais associe des m\u00e9lodies. La couverture des titres les plus populaires suffit. Et la base de donn\u00e9es continue de cro\u00eetre.<\/div>\n<\/details>\n<\/div>\n<style>details summary::-webkit-details-marker,details summary::marker{display:none !important;content:\"\" !important;}details summary{display:flex !important;align-items:center !important;justify-content:space-between !important;width:100% !important;text-align:left !important;gap:12px !important;}details summary > *:first-child{flex:1;}details summary::after{content:\"+\";flex-shrink:0;width:24px;height:24px;min-width:24px;border-radius:50%;background:#75B2A9;color:#000;display:inline-flex !important;align-items:center;justify-content:center;font-size:16px;font-weight:700;margin-left:auto;transition:transform 0.3s;box-shadow:0 0 10px rgba(117,178,169,0.5);}details[open] summary::after{transform:rotate(45deg);}details summary:hover{color:#75B2A9 !important;}details[open]>summary{color:#75B2A9 !important;}<\/style>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8220;&#8220; row_type=&#8220;row&#8220; use_row_as_full_screen_section=&#8220;no&#8220; type=&#8220;full_width&#8220; angled_section=&#8220;no&#8220; text_align=&#8220;left&#038;#8220<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google identifie les chansons que tu siffles. Avec la fonction *\u00ab hum to search \u00bb*, il suffit de 10 \u00e0 15 secondes, quelle que soit la hauteur de ton\u2026<\/p>\n","protected":false},"author":27,"featured_media":3943,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"recherche vocale","_yoast_wpseo_title":"Chanter, Bourdonner, Siffler : Ce qui se cache derri\u00e8re Hum to Search de Google","_yoast_wpseo_metadesc":"Reconna\u00eetre une chanson en sifflant, chantant ou fredonnant : comment fonctionne Hum to Search de Google.","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":0,"_evm_slot_owner":"","_wp_old_slug":[],"footnotes":""},"categories":[7,328,321,327,111],"tags":[173,174,176,177,175,178],"class_list":["post-10251","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-scene-culture","category-szene-kultur","tag-google","tag-humtosearch","tag-melodie","tag-musikerkennung","tag-summen","tag-voiceassistant"],"wpml_language":"fr","wpml_translation_of":1703,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chanter, Bourdonner, Siffler : Ce qui se cache derri\u00e8re Hum to Search de Google<\/title>\n<meta name=\"description\" content=\"Reconna\u00eetre une chanson en sifflant, chantant ou fredonnant : comment fonctionne Hum to Search de Google.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Chanter, Bourdonner, Siffler : Ce qui se cache derri\u00e8re Hum to Search de Google\" \/>\n<meta property=\"og:description\" content=\"Reconna\u00eetre une chanson en sifflant, chantant ou fredonnant : comment fonctionne Hum to Search de Google.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/\" \/>\n<meta property=\"og:site_name\" content=\"InspiredByBeatz\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-21T09:23:03+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-03T22:29:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.inspiredbybeatz.com\/wp-content\/uploads\/2026\/03\/hum-to-search-google-singing.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"1400\" \/>\n\t<meta property=\"og:image:height\" content=\"933\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sonja H\u00f6slmeier\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sonja H\u00f6slmeier\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/\"},\"author\":{\"name\":\"Sonja H\u00f6slmeier\",\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/#\/schema\/person\/289b0149bcbc80a7923c333ac75408a9\"},\"headline\":\"Chanter, Bourdonner, Siffler : Ce qui se cache derri\u00e8re Hum to Search de Google\",\"datePublished\":\"2022-02-21T09:23:03+00:00\",\"dateModified\":\"2026-06-03T22:29:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/\"},\"wordCount\":1520,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.inspiredbybeatz.com\/fr\/chanter-bourdonner-siffler-ce-qui-se-cache-derriere-hum-to-search-de-google\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.inspiredbybeatz.com\/wp-content\/uploads\/2026\/03\/hum-to-search-google-singing.jpeg\",\"keywords\":[\"Google\",\"humtosearch\",\"Melodie\",\"Musikerkennung\",\"Summen\",\"voiceassistant\"],\"articleSection\":[\"News\",\"News\",\"Scene & Culture\",\"Scene & Culture\",\"Szene &amp; 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