![]() ![]() ![]() Some apps claim to have ‘noise-cancellation’ features, but that generally fails when the background noise is loud. How’s the Audio Quality?Īudio-to-text converters require clearly audio to transcribe accurately. If you mostly dictate or record single-speaker audio, then an audio-to-text converter is a good choice.īut if most of your audio is multi-speaker (interviews, focus groups, meetings, etc.), then you may want to consider manual transcription or outsourcing. Of course they would still produce some form of a transcript, but you may find that making corrections takes the same amount of time as transcribing the whole thing manually (sometimes longer). Therefore the accuracy of audio-to-text converters is quite low on multi-speaker audio. How many speakers are there on your recording?Īs we know, speech recognition technology is primarily geared towards single-speaker audio. If you are into research, then this shouldn’t be a problem because you would re-listen to the recording anyway.īut if you’re a journalist or podcaster then the proofreading will mean additional time and effort and may affect deadlines. This means that you would probably have to proofread and re-check transcripts for accuracy. The accuracy of audio-to-text converters can range from 30-95% depending on the apps quality and other factors discussed below. No app delivers 100% accuracy (neither do human transcribers for that matter, but that’s a topic for a different post). There are quite a few audio-to-text converters available in the market today, ranging from free and bare-bones to expensive and highly sophisticated.Īsk yourself these questions to decide which one is best for you – Do You Have Time to Proofread? Things to Consider Before Picking an Audio-to-Text Converter If you choose to transcribe your own audio/video files, then these players are a far better choice compared to the in-built players on your PC or Mac. However, they will come up in search results if you Google ‘audio-to-text converter’ and so it’s important to know what they do. If you’re saying ‘But those are not audio-to-text converters’ you’re quite right. Audio PlayersĪnd finally there are audio players that come with hot-keys for playback and time-coding to simplify manual transcription. If you need pre-recorded audio or video transcribed, then these are more appropriate for you. Transcription apps allow you to upload a recording and create a transcript from it. then dictation apps would be a good choice. If you’re looking for an app to take notes, write a book, dictate patient reports, etc. Dictation appsĪs the name suggests, dictation apps transcribe your speech real-time as you talk into a microphone. They may go by different names (voice-to-text apps, audio-to-text apps, transcription apps, speech-to-text apps, etc.) but they fall in one of these categories. There are 3 types of audio-to-text converters:ģ. This may work for some people who need transcripts for internal use, but if you want to print or share the transcripts with others, then you’ll need to reserve time for proofreading. The accuracy is significantly lower for multi-speaker recordings. The downside is that the accuracy of transcripts produced by these applications is inconsistent (ranging between 40-95%). The upside of using audio-to-text converters is that they can obviously save you a ton of time and energy by automating what is otherwise a very tedious and manual process. Today, practically every dictation and transcription app worth talking about uses speaker dependent speech recognition technology in combination with AI/Machine Learning. You have probably used this version in some of your favorite apps like Apple’s Siri, Google Assistant, Amazon’s Alexa, and Shazam. The Speaker Dependent version is capable of holding a larger vocabulary, but needs to be trained to recognize individual speakers’ voices. This version is often used in phone IVRs where limited vocabulary is required within a known context. The Speaker Independent version can understand a limited set of words, irrespective of who is speaking. Speech recognition can be divided into two categories – Speaker Dependent and Speaker Independent. Now speech recognition is a vast topic, but here’s a simple explanation for the purposes of this post: This technology uses a complex combination of linguistics, mathematics, and computing to understand human speech and convert it into text or commands. This post explains what audio-to-text converters can and cannot do, and how to go about selecting the right one for YOU.įirst up, here’s a roundup of the best free and paid audio-to-text converters available out there: List of Free and Paid Audio-to-Text Converters AppĪudio-to-text converters work on speech recognition technology. But each solution differs in capability and functionality. In essence they all do the same thing – convert audio to text. ![]()
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