exp_w2v2t_fr_vp - fr_s438 Open-source French Automatic Speech Recognition Model, Accurately Recognize French Speech

Exp W2v2t Fr Vp Fr S438

Developed by jonatasgrosman

A French automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-fr-voxpopuli model, trained using the Common Voice 7.0 French dataset.

Speech Recognition

Transformers

FrenchOpen Source License:Apache-2.0 #French speech recognition #16kHz sampling rate #Common Voice fine-tuning

Downloads 20

Release Time : 7/9/2022

Model Overview

This model is an automatic speech recognition (ASR) model optimized specifically for French speech recognition tasks, based on the wav2vec2 architecture, suitable for 16kHz sampled speech input.

Model Features

French optimization

Fine-tuned specifically for French speech recognition, delivering superior performance on French speech recognition tasks.

Based on wav2vec2 architecture

Utilizes the advanced wav2vec2 architecture with powerful speech feature extraction capabilities.

Trained on Common Voice dataset

Trained using the Mozilla Common Voice 7.0 French dataset, ensuring reliable data quality.

Model Capabilities

French speech recognition

Speech-to-text

16kHz audio processing

Use Cases

Speech transcription

French speech-to-text

Convert French speech content into text transcripts

Voice assistants

French voice command recognition

Used for voice command recognition systems in French voice assistants

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Exp W2v2t Fr Vp Fr S438

Model Overview

Model Features

Model Capabilities

Use Cases

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