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Wav2vec2 Base Russian Modified Kaggle
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Wav2vec2 Base Russian Modified Kaggle

Developed by Eyvaz
This model is a fine-tuned version of facebook/wav2vec2-base on an unspecified dataset, suitable for Russian speech processing tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Russian speech recognition#wav2vec2 fine-tuning#low-resource optimization
Downloads 16
Release Time : 3/2/2022

Model Overview

This is a Russian speech processing model based on the wav2vec2 architecture, fine-tuned for specific tasks, but the exact purpose and training data are not clearly specified.

Model Features

Based on wav2vec2 architecture
Uses facebook's wav2vec2-base as the base model, offering excellent speech feature extraction capabilities.
Optimized for Russian
Fine-tuned specifically for Russian, potentially making it more suitable for Russian speech processing tasks.
Efficient training
Optimizes the training process using techniques like mixed-precision training and gradient accumulation.

Model Capabilities

Russian speech recognition
Speech feature extraction

Use Cases

Speech processing
Russian speech-to-text
Convert Russian speech into text
Russian speech analysis
Extract feature information from Russian speech
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