In this tutorial, we'll learn how to Use ASR System for Accurate Transcription Properties of Your Digital Product. Let's explore it with us now.
Thanks to advances in speech recognition, companies can now build a whole range of products with accurate transcription capabilities at their heart. Conversation intelligence platforms, personal assistants and video and audio editing tools, for example, all rely on speech to text transcription. However, you often need to train these systems for every domain you want to transcribe, using supervised data. In practice, you need a large body of transcribed audio that’s similar to what you are transcribing just to get started in a new domain.
Recently, Facebook released wav2vec 2.0 which goes some way towards addressing this challenge. wav2vec 2.0 allows you to pre-train transcription systems using _audio only — _with no corresponding transcription — and then use just a tiny transcribed dataset for training.
In this blog, we share how we worked with wav2vec 2.0, with great results.
If you want to become a machine learning professional, you’d have to gain experience using its technologies and also by completing projects. Top Machine Learning Projects in Python For Beginners 
If you want to become a machine learning professional, you’d have to gain experience using its technologies. The best way to do so is by completing projects. Take a look at this article and we will help you become an expert
In this post, we'll learn top 30 Python Tips and Tricks for Beginners
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
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