Wav2Vec2 Large Ru Golos This model is a component of the Pisets speech to text system, presented in the paper Pisets: A Robust Speech Recognition System for Lectures and Interviews. The source code for the Pisets system is available on GitHub: bond005/pisets. The Wav2Vec2 model is based on facebook/wav2vec2 large xlsr 53, fine tuned in Russian using Sberdevices Golos with audio augmentations like as pitch shift, acceleration/deceleration of sound, reverberation etc. When using this model, make sure that your speech input is sampled at 16kHz. Usage To transcribe audio files the model can be used as a standalone acoustic model as follows: Evaluation This code snippet shows how to evaluate bond005/wav2vec2 large ru golos on Golos dataset's "crowd" and "farfield" test data. Result (WER, %) : "crowd" "farfield" 10.144 20.353 Result (CER, %) : "crowd" "farfield" 2.168 6.030 You can see the evaluation script on other datasets, including Russian Librispeech and SOVA RuDevices, on my Kaggle web page https://www.kaggle.com/code/bond005/wav2vec2 ru eval Citation If you want to cite this model you can use this:
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