wav2vec2-base-russian-big-kaggle Open-source Speech Recognition Model

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Wav2vec2 Base Russian Big Kaggle

Developed by Eyvaz

This model is a speech recognition model fine-tuned on Russian datasets based on facebook/wav2vec2-base

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Russian speech recognition #wav2vec2 fine-tuning #low-resource optimization

Downloads 17

Release Time : 3/2/2022

Model Overview

Russian speech recognition model based on wav2vec2 architecture, suitable for converting Russian speech to text

Model Features

Russian speech recognition

Speech recognition capabilities specifically optimized for Russian

Based on wav2vec2 architecture

Adopts Facebook's wav2vec2-base architecture with excellent speech feature extraction capabilities

Apache 2.0 license

Open-source license allowing commercial use and modification

Model Capabilities

Russian speech-to-text

Speech feature extraction

Use Cases

Speech transcription

Russian meeting minutes

Automatically transcribe Russian meeting recordings into text records

Russian media subtitle generation

Automatically generate subtitles for Russian video content

Voice assistants

Russian voice command recognition

Recognize user commands in Russian voice assistants

Property	Details
Transformers	4.11.3
Pytorch	1.9.1
Datasets	1.13.3
Tokenizers	0.10.3

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Wav2vec2 Base Russian Big Kaggle

Model Overview

Model Features

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