![]() ![]() Libraries and tools like ffmpeg can be pretty handy for something like that. This is definitely a downside as you need to upload a lot more data with wav format instead of just simply post MP3 and the conversion from MP4 to wav could be something that could be implemented in the SpeechServices itself.Įven if you have wav files as a source, it would be more convenient to compress it to MP3 and send for transcription. You can for now only submit wav audio format files to transcription. Unfortunately Azure SpeechServices for now does not support direct mp3 to speech (transcription text) processing. ![]() ![]() Click Create button and your SpeechService instance is ready for usage. If you are going to use the Speech service only for demo or development, choose F0 tier which is free and comes with cetain limitations. Select Speech item from the result list and populate the mandatory fields. Hit Add or Create cognitive services button to create a new SpeechService Cognitive Service instance. In the search bar type "Speech" and in the result list you will Speech item available. If you haven't use any of Azure Cogntive Services this list will be like on the picture empty. It is categorized as Azure Congitive Services so from dashboard find Cognitive Services. Setting up Azure Cognitive Services - SpeechServices instanceīefore you can use Azure SpeechServices you need to add instance to your Azure account. For transcription I used Azure SpeechServices to get the text from the previously recorder audio files. I recently worked on a project which involved transcribing large amount of daily generated audio recordings. One of these services is speech recognition and generating transcription text from the audio. There is a big buzz about AI these days and major Cloud vendors like Amazon Web Services, Azure, Google Cloud are competing to bring better products to their platforms for variety of AI tasks. ![]()
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