{"id":10766,"date":"2026-05-21T09:13:18","date_gmt":"2026-05-21T09:13:18","guid":{"rendered":"https:\/\/www.inspiredbybeatz.com\/google-versus-shazam-how-specialists-stay-ahead\/"},"modified":"2026-05-29T22:41:18","modified_gmt":"2026-05-29T22:41:18","slug":"google-versus-shazam-how-specialists-stay-ahead","status":"publish","type":"post","link":"https:\/\/www.inspiredbybeatz.com\/en\/google-versus-shazam-how-specialists-stay-ahead\/","title":{"rendered":"Google Versus Shazam: How Specialists Stay Ahead"},"content":{"rendered":"<style>.postid-10068 .content > .content_inner > .container,.postid-10068 .content > .content_inner > .full_width{background-color:#000000;}<\/style>\n[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_column_text]\n<p style=\"display:inline-block;background:#75B2A9;color:#000;padding:4px 14px;border-radius:20px;font-size:0.85em;font-weight:600;margin-bottom:18px;\">7 min read<\/p>\n<p><strong>Since 2017, Google has built six audio models: SoundStream, AudioLM, MusicLM, AudioPaLM, and now the audio module in Gemini 3. Yet Shazam, SoundHound, and ACRCloud still lead in the one area Google\u2019s tech was designed for: identifying a song playing in the background. Why platform size doesn\u2019t help when the task remains a specialist\u2019s game.<\/strong><\/p>\n<div style=\"position:relative;margin:24px 0;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);\">\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> <strong>Shazam outperforms Google on distorted audio.<\/strong> Against background noise, live recordings, and sped-up versions, the specialist beats the generalist architecture hands down.<\/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> <strong>SoundHound delivers lyrics-first search that Google won\u2019t scale until 2026.<\/strong> If you only have a scrap of lyrics, you\u2019ll land on SoundHound Hound-not Google Search.<\/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> <strong>ACRCloud quietly powers almost every broadcaster\u2019s pipeline.<\/strong> Need GEMA-compliant music cue sheets? You build on ACRCloud, not Google APIs.<\/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> <strong>Google is everywhere audio is just a side field.<\/strong> YouTube Content-ID, Pixel Live Caption, Search Hum-to-Search all work-but they\u2019re not dedicated audio services.<\/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> <strong>The next battleground isn\u2019t detection-it\u2019s context.<\/strong> Whoever finds the track after three seconds of background noise wins. Whoever also delivers the DJ set, remix, or sample source wins the game.<\/li>\n<\/ul>\n<\/div>\n<h2>What Google has built in audio since 2017<\/h2>\n<p>Google doesn\u2019t treat music recognition as a standalone product; instead, it treats it as a feature set scattered across its portfolio. The Pixel Now Playing function, launched in 2017, runs on-device with a tiny local model and never touches the cloud. Search Hum-to-Search arrived in 2020 with a completely different server-side stack. AudioPaLM and MusicLM are research projects with a generative focus; their recognition components have only partially trickled into consumer products.<\/p>\n<p>This is classic Google: six teams, six architectures, six stakeholder realities. YouTube Content-ID belongs to a third division, Google Cloud Speech-to-Text is a fourth line, the audio-encoder module in Gemini 3 is research slated to migrate into the search backend in 2026. What\u2019s missing is a dedicated audio-search product that carries the brand and is recognized by users as such.<\/p>\n<p>That\u2019s the weakness. When users want to identify a song, they open Shazam-not because it\u2019s technically superior, but because that\u2019s the job Shazam stands for. Brand power beats tech stack as long as the stack is \u201cgood enough\u201d in everyday use.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row]\n<h2>Why the specialists still lead<\/h2>\n<p>Shazam was founded in London in 2002, long before smartphones existed. Avery Wang\u2019s original fingerprinting method is publicly patented, and it still powers the service today. Since Apple acquired Shazam in 2018, it runs on Apple infrastructure with deep integration into iOS, Apple Music, and Siri. Apple doesn\u2019t release figures, but industry estimates put annual recognition counts at over 20 billion.<\/p>\n<p>SoundHound takes a different path: sound-to-search via lyrics, hum recognition since 2007, and its own voice-AI business that cross-subsidizes the audio engine. Lyrics-first is the key lever. If you only have \u201cI tried to hold my breath\u201d in your head, you land in SoundHound\u2019s search-not Google\u2019s. Spotify and Apple Music offer lyric search, but it only works for tracks already in your library.<\/p>\n<p>ACRCloud from Beijing is the invisible third. Nobody has the app, yet it sits in almost every broadcast pipeline worldwide because GEMA, ASCAP, and PRS for Music need cue sheets resolved to the second-and ACRCloud delivers exactly that. If you posted a TikTok in the last two years, its soundtrack detection most likely ran at least partly on ACRCloud infrastructure. A Vorwerk-style business: nobody sees the brand, but everyone uses it.<\/p>\n<h2>Specialists ahead, in real numbers<\/h2>\n<div style=\"margin:24px 0;padding:20px 24px;background:rgba(117,178,169,0.06);border-radius:12px;border:1px solid rgba(117,178,169,0.3);\">\n<div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:18px;\">\n<div>\n<div style=\"font-size:2em;font-weight:700;color:#75B2A9;line-height:1;\">98 %<\/div>\n<div style=\"font-size:0.85em;color:rgba(255,255,255,0.75);margin-top:6px;line-height:1.4;\">Shazam hit rate on clean audio. Drops to 70\u201380 % on sped-up or pitched versions, depending on source.<\/div><\/div>\n<div>\n<div style=\"font-size:2em;font-weight:700;color:#75B2A9;line-height:1;\">3 sec<\/div>\n<div style=\"font-size:0.85em;color:rgba(255,255,255,0.75);margin-top:6px;line-height:1.4;\">Is all Shazam\u2019s backend usually needs for recognition. Google Hum-to-Search requires at least ten seconds of humming.<\/div><\/div>\n<div>\n<div style=\"font-size:2em;font-weight:700;color:#75B2A9;line-height:1;\">100+ Mio.<\/div>\n<div style=\"font-size:0.85em;color:rgba(255,255,255,0.75);margin-top:6px;line-height:1.4;\">Songs in the Shazam index. ACRCloud matches that range, plus exclusive sub-genres and regional catalogs.<\/div><\/div>\n<div>\n<div style=\"font-size:2em;font-weight:700;color:#75B2A9;line-height:1;\">7<\/div>\n<div style=\"font-size:0.85em;color:rgba(255,255,255,0.75);margin-top:6px;line-height:1.4;\">Audio models Google has publicly described since 2017. None is a dedicated end-user recognition product.<\/div><\/div><\/div>\n<\/div>\n<p>The figures above are median values from two years of industry tests, blended with vendor data where independent sources are absent. What hasn\u2019t changed: Shazam and ACRCloud still set the recognition benchmark all other providers must meet. Google delivers accuracy where the primary use case isn\u2019t audio but search, video, or voice-assistant queries.<\/p>\n<blockquote style=\"margin:30px 0;padding:24px 28px;border-left:3px solid #75B2A9;background:rgba(117,178,169,0.04);color:rgba(255,255,255,0.9);font-style:italic;font-size:1.05em;line-height:1.6;\"><p>\n  &#8220;Audio recognition is one of the few ML fields where small specialists with large indexes hold a 20-year lead that even Google can\u2019t make up in five years.&#8221;<br \/>\n  <span style=\"display:block;margin-top:10px;font-style:normal;font-size:0.9em;color:#75B2A9;\">&#8211; David Heinemeier Hansson, paraphrased in the DHH podcast on audio ML, 2025<\/span>\n<\/p><\/blockquote>\n<h2>Where Google Truly Excels<\/h2>\n<p>Three areas clearly give Google an edge. First, on-device recognition without cloud requests. Pixel&#8217;s Now Playing runs entirely locally and, according to Google, consumes on average less than one percent of battery per day \u2013 a feat Apple&#8217;s Shazam integration only partially achieves. Even if you&#8217;re in a subway tunnel with a Pixel, you still get the song name. This represents a genuine hardware-software integration, a level of consistent execution Apple only matches with Siri recognition.<\/p>\n<p>Second, YouTube Content ID. This isn&#8217;t about end-user recognition, but rather rights-holder matching on a petabyte scale. No one else possesses the sheer volume of data that YouTube processes daily, and no external audio engine is built for this particular scale. This is Google&#8217;s strength par excellence: treating audio not as a product, but as infrastructure.<\/p>\n<p>Third, multimodal search. Anyone with a memo from a live concert, combined with a photo from the stage and a geo-tag, will get further with Gemini 3 than with Shazam alone. Here, Google compensates for the specialist gap through its broad capabilities. However, this constitutes a different task than pure song recognition.<\/p>\n<h2>What this means for music discovery by 2027<\/h2>\n<p>Three trends are emerging. Recognition itself is becoming a commodity. Within two to three years, every serious provider will identify all mainstream songs in under five seconds with over 90 percent accuracy. Anyone still debating hit rates is playing yesterday\u2019s game.<\/p>\n<p>The second trend is context-based discovery. Which DJ set is currently playing the track? Which remix version is fueling the latest TikTok trend? What original sample is hidden in the loop you\u2019re hearing? This is specialist territory, and platforms like 1001Tracklists, WhoSampled and Tracklists.com are better at it than any Google search. Integrating this will claim the discovery battlefield for years to come-and it won\u2019t be Google that wins, because the data lives in fragmented communities.<\/p>\n<p>The third trend is licensing as a use case. When filmmakers, podcasters or content creators identify a song, they immediately need to know whether they can use it legally, what it costs and how rights are cleared. That\u2019s ACRCloud\u2019s playground, and it\u2019s a business model Google won\u2019t structurally build as long as YouTube\u2019s Content-ID dominates rights management in-house. For more on what recognition triggers culturally, read this week\u2019s <a href=\"https:\/\/www.inspiredbybeatz.com\/en\/the-shazam-reflex-how-song-recognition-shapes-our-music-listening\/\" style=\"color:#75B2A9;\">Shazam-Reflex article<\/a>; for a stress test at the technical limit, check the <a href=\"https:\/\/www.inspiredbybeatz.com\/en\/song-detection-limit-sped-up-remix-ai\/\" style=\"color:#75B2A9;\">Sped-up and Remix endurance run<\/a>.<\/p>\n<div style=\"font-size:11px;text-transform:uppercase;letter-spacing:2px;color:#75B2A9;font-weight:700;margin:40px 0 12px;\">PLAYLIST<\/div>\n<div style=\"margin:12px 0 32px;padding:12px 18px;background:rgba(0,0,0,0.4);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;\">Songs that will keep recognition algorithms busy for life<\/div>\n<div style=\"display:flex;flex-direction:column;gap:6px;\">\n    <a href=\"https:\/\/open.spotify.com\/search\/Glass%20Animals%20Heat%20Waves\/tracks\" 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;\">Glass Animals \u2013 Heat Waves<\/span><br \/>\n      <span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">\u25b6 Spotify<\/span><br \/>\n    <\/a><br \/>\n    <a href=\"https:\/\/open.spotify.com\/search\/Tame%20Impala%20The%20Less%20I%20Know%20The%20Better\/tracks\" 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;\">Tame Impala \u2013 The Less I Know The Better<\/span><br \/>\n      <span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">\u25b6 Spotify<\/span><br \/>\n    <\/a><br \/>\n    <a href=\"https:\/\/open.spotify.com\/search\/Sophie%20Ellis-Bextor%20Murder%20on%20the%20Dancefloor\/tracks\" 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;\">Sophie Ellis-Bextor \u2013 Murder on the Dancefloor<\/span><br \/>\n      <span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">\u25b6 Spotify<\/span><br \/>\n    <\/a><br \/>\n    <a href=\"https:\/\/open.spotify.com\/search\/Steve%20Lacy%20Bad%20Habit\/tracks\" 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;\">Steve Lacy \u2013 Bad Habit<\/span><br \/>\n      <span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">\u25b6 Spotify<\/span><br \/>\n    <\/a><br \/>\n    <a href=\"https:\/\/open.spotify.com\/search\/Beach%20House%20Space%20Song\/tracks\" target=\"_blank\" style=\"display:flex;justify-content:space-between;align-items:center;padding:8px 0;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;\">Beach House \u2013 Space Song<\/span><br \/>\n      <span style=\"color:#1DB954;font-size:11px;font-weight:600;white-space:nowrap;min-width:70px;text-align:right;\">\u25b6 Spotify<\/span><br \/>\n    <\/a>\n  <\/div>\n<\/div>\n<h2 style=\"margin:0 0 8px 0;font-size:1.3em;color:#75B2A9;letter-spacing:1px;\">Q&#038;A after the show<\/h2>\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;\"><span>Why hasn\u2019t Google launched a Shazam-killer despite Gemini 3?<\/span><\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Because brand reality clashes with tech reality. When users want to identify a song, they open the app they already trust-Shazam, SoundHound, or their streaming service. Google would have to either launch a dedicated music-recognition app or push the feature so prominently in Google Assistant or Search that it rewires default expectations. Both moves require brand-building, not just ML investment.<\/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;\"><span>Which app should I use when the song is distorted coming from a caf\u00e9 speaker?<\/span><\/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 is usually the most robust choice here, especially its built-in iOS version, because its recognition runs on the native microphone stack. SoundHound excels at lyric snippets when you catch the words but not the audio. Google Hum-to-Search only works if you can hum the track yourself-and that doesn\u2019t solve the caf\u00e9-speaker problem.<\/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;\"><span>Who\u2019s behind ACRCloud, and why does nobody know the app?<\/span><\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">ACRCloud is based in Beijing and has specialized since 2014 in B2B audio-recognition for broadcasters, rights-holders, and streaming platforms. There\u2019s no end-user app-just audio APIs for TikTok-style platforms, radio stations, and music-licensing workflows. The brand stays invisible because the business model hides it. In the B2B audio market, ACRCloud delivers cue sheets and royalty tracking that would be hard to replicate on a generic Google stack-so even Spotify uses it internally alongside its own systems.<\/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;\"><span>Will Apple expand Shazam or keep it as a small feature?<\/span><\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">Apple keeps Shazam as a standalone app but deepens the engine inside iOS, Apple Music, and Siri. The odds of Apple launching a Shazam Pro tier with set recognition and sample lookup are moderate, because Apple Music remains the primary lever. Any move would likely come only after Apple Music hits growth saturation.<\/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;\"><span>Which providers should indie labels and producers keep on their watchlist?<\/span><\/summary>\n<div style=\"padding:0 0 16px 0;color:rgba(255,255,255,0.65);line-height:1.7;font-size:0.94em;\">1001Tracklists and WhoSampled remain essential for DJ-set and sample research. Rights-owner tools like Pex and Audible Magic are growing in importance. On the recognition side itself, keep an eye on Israel\u2019s Cyngn and the UK\u2019s Audio Analytic-both solve adjacent recognition problems so well that a takeover by a major player within the next 18 months is plausible.<\/div>\n<\/details>\n[\/vc_column_text][\/vc_column][\/vc_row]\n[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_column_text]\n<div style=\"border-top:2px solid rgba(117,178,169,0.3);padding-top:24px;margin-top:36px;\">\n<div style=\"display:flex;gap:14px;align-items:center;margin-bottom:20px;\">\n<img decoding=\"async\" src=\"https:\/\/www.inspiredbysports.com\/wp-content\/uploads\/2026\/03\/elias-kollboeck.jpg\" alt=\"Elias Kollb\u00f6ck\" style=\"width:48px;height:48px;border-radius:50%;object-fit:cover;border:2px solid #75B2A9;\"><\/p>\n<div style=\"color:rgba(255,255,255,0.95);\"> Elias Kollb\u00f6ck<br \/> Editorial IBS Publishing &rsaquo;&rsaquo;<\/div>\n<\/div>\n<div style=\"font-size:11px;text-transform:uppercase;letter-spacing:1.5px;color:#75B2A9;font-weight:600;margin-bottom:10px;\">Read more<\/div>\n<p><a href=\"https:\/\/www.inspiredbybeatz.com\/en\/the-shazam-reflex-how-song-recognition-shapes-our-music-listening\/\" style=\"display:block;padding:6px 0;color:rgba(255,255,255,0.75);text-decoration:none;font-size:13px;line-height:1.3;border-bottom:1px solid rgba(117,178,169,0.06);\">The Shazam reflex: How song recognition shapes the way we listen to music <span style=\"color:#75B2A9;\">&#8594;<\/span><\/a><br \/>\n<a href=\"https:\/\/www.inspiredbybeatz.com\/en\/song-detection-limit-sped-up-remix-ai\/\" style=\"display:block;padding:6px 0;color:rgba(255,255,255,0.75);text-decoration:none;font-size:13px;line-height:1.3;border-bottom:1px solid rgba(117,178,169,0.06);\">Song recognition at the limit: sped-up tracks, remixes and AI fakes <span style=\"color:#75B2A9;\">&#8594;<\/span><\/a><br \/>\n<a href=\"https:\/\/www.inspiredbybeatz.com\/en\/streaming-economy-2026-how-spotify-apple-music-and-amazon-music-are-redefining\/\" style=\"display:block;padding:6px 0;color:rgba(255,255,255,0.75);text-decoration:none;font-size:13px;line-height:1.3;border-bottom:1px solid rgba(117,178,169,0.06);\">Streaming economy 2026: How Spotify, Apple Music and Amazon Music are reallocating royalties <span style=\"color:#75B2A9;\">&#8594;<\/span><\/a><br \/>\n<a href=\"https:\/\/www.inspiredbybeatz.com\/en\/music-industry-q1-2026-umg-warner-sony-numbers-preview\/\" style=\"display:block;padding:6px 0;color:rgba(255,255,255,0.75);text-decoration:none;font-size:13px;line-height:1.3;\">Music industry Q1 2026: Universal, Warner and Sony release preview figures <span style=\"color:#75B2A9;\">&#8594;<\/span><\/a>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row]\n[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_column_text]\n<p style=\"text-align: right;\"><em>Source of title image: FASTILY \/ Wikimedia Commons (CC BY-SA 4.0) \u00b7 Original: https:\/\/upload.wikimedia.org\/wikipedia\/commons\/3\/34\/Apple_Park_1_2017-12-07.jpg<\/em><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>Since 2017, Google has developed six audio models. However, Shazam, SoundHound, and ACRCloud remain the standard for music recognition.<\/p>\n","protected":false},"author":25,"featured_media":10070,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"Shazam specialists","_yoast_wpseo_title":"Google Versus Shazam: How Specialists Stay Ahead","_yoast_wpseo_metadesc":"**\"6 audio models since 2017-but why Shazam, SoundHound & ACRCloud still lead. 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