{"id":2274,"date":"2026-05-25T09:00:00","date_gmt":"2026-05-25T09:00:00","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=2274"},"modified":"2026-05-16T19:03:58","modified_gmt":"2026-05-16T19:03:58","slug":"cohere-transcribe-speech-to-text-in-7-audio-tests","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/cohere-transcribe-speech-to-text-in-7-audio-tests\/","title":{"rendered":"Cohere Transcribe: Speech-to-Text in 7 Audio Tests"},"content":{"rendered":"<h2>What Cohere Transcribe does<\/h2>\n<p><a href=\"https:\/\/wiro.ai\/models\/coherelabs\/cohere-transcribe-03-2026\">Cohere Transcribe<\/a> is a speech-to-text (ASR) model that converts audio into text in 14 languages. It is designed for both short clips and long recordings, with support for inputs over 55 minutes.<\/p>\n<h2>Test setup<\/h2>\n<ul>\n<li>7 audio clips total: 1 sample clip + 6 synthetic clips.<\/li>\n<li>The synthetic clips were generated with <a href=\"https:\/\/wiro.ai\/models\/resemble-ai\/chatterbox-multilingual\">Chatterbox Multilingual<\/a> using one reference voice and language transfer.<\/li>\n<li>Each clip was transcribed with Cohere Transcribe using an explicit language setting (no auto-detect).<\/li>\n<\/ul>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/cohere-transcribe-ui.png\" alt=\"Transcription UI style illustration with waveform and transcript\" \/><figcaption>Prompt: Minimal transcription dashboard UI screenshot, audio waveform on the left, transcript text lines on the right, dark background, green accent, clean modern design, high contrast<\/figcaption><\/figure>\n<h2>Quick results table<\/h2>\n<table>\n<thead>\n<tr>\n<th>Test<\/th>\n<th>Language<\/th>\n<th>Audio length<\/th>\n<th>What it tested<\/th>\n<th>Result snapshot<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>English<\/td>\n<td>0:11<\/td>\n<td>Clean narration<\/td>\n<td>Strong baseline transcription<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>English<\/td>\n<td>0:13<\/td>\n<td>Numbers + tracking code<\/td>\n<td>Digits and decimals drifted<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>English<\/td>\n<td>0:20<\/td>\n<td>Emails + URL + tokens<\/td>\n<td>Token spelling broke down<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Spanish<\/td>\n<td>0:11<\/td>\n<td>Order info + postal code<\/td>\n<td>Large hallucination chunk<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>French<\/td>\n<td>0:07<\/td>\n<td>Meeting time + room number<\/td>\n<td>Clean output, good formatting<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Japanese<\/td>\n<td>0:05<\/td>\n<td>Short announcement + code<\/td>\n<td>Meaning preserved, code lost<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Arabic<\/td>\n<td>0:11<\/td>\n<td>Order info + tracking code<\/td>\n<td>Heavy distortion in numbers<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Transcription outputs<\/h2>\n<h3>Test 1 &#8211; English sample clip (0:11)<\/h3>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test0-cohere-sample.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>Finally, there are many small cats including loose pet cats that eat the far more numerous small prey like insects, rodents, lizards and birds.<\/code><\/pre>\n<p>This clean narration case came back with a readable, well-formed sentence and punctuation.<\/p>\n<h3>Test 2 &#8211; English with numbers and a tracking code (0:13)<\/h3>\n<p>Input script:<\/p>\n<pre><code>For the shipping audit, order 48219 shipped on February 14 at 9:05 AM. Total weight 3.7 kilograms. Tracking code Z X dash 9 1 dash Delta.<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test1-en-clean.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>For the shipping audit, order 48219 shipped on February 14 at 9005 am. Total weight 327 kilograms. Tracking code ZX-91-DELTA.<\/code><\/pre>\n<p>The output kept the order ID and tracking pattern, but the time and decimal drifted (9:05 became 9005, 3.7 became 327). This type of mismatch matters in logistics and compliance workflows, so numeric post-validation still helps.<\/p>\n<h3>Test 3 &#8211; English with an email, URL, and token-like strings (0:20)<\/h3>\n<p>Input script:<\/p>\n<pre><code>Email support plus wiro at acme dot dev. URL https colon slash slash api dot example dot com slash v1 slash run question mark mode equals fast ampersand retry equals 2. Error code E underscore C O N N underscore R E S E T. Commit seven f three a nine c one.<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test2-en-tokens.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>Email support plus wiro at acme.dev. Earls colon slash slash appy.example dot com slash v1 slash run question mark mode equals fast ampersand retry equals two. Error code e underscore con and underscore air e set commit seven f three a nine c one.<\/code><\/pre>\n<p>This is the hardest category for most ASR systems: URLs, separators, and spelled-out tokens. The email normalized nicely, but the URL and error token became unstable. For production, it helps to avoid reading URLs aloud and instead use metadata fields or copy-paste paths.<\/p>\n<h3>Test 4 &#8211; Spanish order and postal code (0:11)<\/h3>\n<p>Input script:<\/p>\n<pre><code>El pedido numero 1740 llego el martes a las 18 30. El codigo postal es 28013. Gracias por llamar al soporte.<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test3-es.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>El pelido n\u00famero 1740. Llego el martes a las 18.30. El c\u00f3digo postal es BioChentoCientaERES. Gracias por llamar al soporte.<\/code><\/pre>\n<p>The overall structure stayed intact, but the postal code segment collapsed into a non-numeric phrase. Since this Spanish clip was generated via cross-language voice transfer, the TTS accent and phonemes may be part of the error pattern.<\/p>\n<h3>Test 5 &#8211; French meeting details (0:07)<\/h3>\n<p>Input script:<\/p>\n<pre><code>La reunion est planifiee pour jeudi a 14 heures 20. Le numero de salle est B 3 1. Merci de confirmer par email.<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test4-fr.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>La r\u00e9union est planifi\u00e9e pour jeudi \u00e0 14h20. Le num\u00e9ro de salle est B31. Merci de confirmer par email.<\/code><\/pre>\n<p>This was the cleanest multilingual result in the set: accents, spacing, and compact formatting (14h20, B31) all came through nicely.<\/p>\n<h3>Test 6 &#8211; Japanese short announcement + code (0:05)<\/h3>\n<p>Input script:<\/p>\n<pre><code>\u305d\u308c\u306f\u91cd\u8981\u306a\u304a\u77e5\u3089\u305b\u3067\u3059\u3002\u5834\u6240\u306f\u6e0b\u8c37\u99c5\u306e\u5730\u4e0b\u3067\u3059\u3002\u30b3\u30fc\u30c9\u306fA 7 \u30c0\u30c3\u30b7\u30e5 K\u3002<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test5-ja.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>\u305d\u308c\u306f\u91cd\u8981\u306a\u304a\u77e5\u3089\u305b\u3067\u3059\u3002\u5834\u6240\u306f\u6e0b\u8c37\u99c5\u306e\u5730\u4e0b\u3067\u3059\u3002\u30b3\u30fc\u30c9\u306f\u30b8\u30d6\u30c0\u30c3\u30b7\u30e5\u6a5f\u3002<\/code><\/pre>\n<p>The sentence content stayed readable, but the alphanumeric code did not survive as letters and digits. Code capture works better as a separate input field or as text on screen with OCR.<\/p>\n<h3>Test 7 &#8211; Arabic order details + tracking code (0:11)<\/h3>\n<p>Input script:<\/p>\n<pre><code>\u062a\u0645 \u0634\u062d\u0646 \u0627\u0644\u0637\u0644\u0628 \u0631\u0642\u0645 5182 \u064a\u0648\u0645 \u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621 \u0627\u0644\u0633\u0627\u0639\u0629 10 45. \u0631\u0645\u0632 \u0627\u0644\u062a\u062a\u0628\u0639 \u0647\u0648 A B \u0634\u0631\u0637\u0629 7 2.<\/code><\/pre>\n<p>Audio:<\/p>\n<p><audio controls src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/asr-test6-ar.mp3\"><\/audio><\/p>\n<p>Transcription:<\/p>\n<pre><code>\u062a\u0645 \u0634\u062d\u0646 \u0627\u0644\u0637\u0644\u0628 \u0631\u0642\u0645 \u0647\u0645\u0633\u0647 \u0648\u0633\u062a\u0647 \u0648\u0627\u0631\u0641\u064a\u0646\u0647 \u0648\u0633\u064a\u0646 \u064a\u0648\u0645 \u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621 \u0627\u0644\u0633\u0627\u0639\u0647 \u0648\u0633\u062a\u0647 \u0648\u062b\u0645\u0627\u0646 \u0648\u0627\u0631\u0641\u064a\u0646 \u0631\u0645\u0632 \u0627\u0644\u062a\u062a\u0628\u0639 \u0647\u0648 \u0627\u0628\u064a \u0634\u0631\u0637\u0647 \u0633\u0641\u0627\u0646 \u0648\u0633\u064a\u0646<\/code><\/pre>\n<p>The Arabic clip produced a fluent-looking sentence, but numbers and letter sequences shifted heavily. For Arabic call center logs, it may help to keep numeric IDs in DTMF or CRM fields rather than spoken aloud.<\/p>\n<h2>When Cohere Transcribe is a good fit<\/h2>\n<ul>\n<li>Clean narration, interviews, and meeting notes where readability matters more than exact token spelling.<\/li>\n<li>Multilingual content where the audio source is natural speech (not synthetic voice transfer).<\/li>\n<li>Workflows that can post-validate numbers (order IDs, totals, timestamps) after transcription.<\/li>\n<\/ul>\n<h2>Try it<\/h2>\n<p>Run your own clips with <a href=\"https:\/\/wiro.ai\/models\/coherelabs\/cohere-transcribe-03-2026\">Cohere Transcribe<\/a> and compare how it handles your accents, noise, and domain vocabulary.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>What Cohere Transcribe does Cohere Transcribe is a speech-to-text (ASR) model that converts audio into text in 14 languages. It is designed&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2273,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[101,94,195,196,95,63],"class_list":["post-2274","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-asr","tag-audio","tag-cohere","tag-cohere-transcribe","tag-multilingual","tag-speech-to-text"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=2274"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2274\/revisions"}],"predecessor-version":[{"id":2520,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2274\/revisions\/2520"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2273"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=2274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=2274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=2274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}