Examining the Best Speech-to-Text Method for Audio Files in Podcasting
Keywords:
Podcast, Subtitles, Spectral Gating, Speech-to-Text, Silero, Vosk, Mozilla DeepSpeech, SpeechRecognition, Word Error Rate, AccuracyAbstract
Podcasting is a great way to give insights or opinions on any topic to the audience. Podcasting requires both parties to be present physically at the location. But due to the pandemic crisis, this has caused a big problem. So, it is now carried out on an online platform. But the cons are the presence of noise in the audio files as well as miscommunication. The Spectral Gating method is used to remove the noise. This paper compares the various algorithms for converting audio to text by using various speech-to-text pretrained models. We performed an experiment on various audio files and the best accuracy rate was obtained for SpeechRecognition pretrained model.
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