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Wav2vec2 2 Bert Large No Adapter Frozen Enc
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Wav2vec2 2 Bert Large No Adapter Frozen Enc

Developed by speech-seq2seq
This model is a speech recognition model trained on the librispeech_asr dataset, achieving a word error rate (WER) of 2.0133 on the evaluation set.
Speech Recognition
Transformers
#High-precision speech transcription#Low word error rate#English speech recognition
Downloads 25
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition (ASR) model capable of converting speech to text. The model is trained on the librispeech_asr dataset and is suitable for English speech recognition tasks.

Model Features

Low word error rate
Achieved a word error rate (WER) of 2.0133 on the evaluation set, demonstrating good performance.
Trained on LibriSpeech
Trained using the standard librispeech_asr dataset, providing a reliable training foundation.
Optimized training configuration
Incorporates optimization techniques such as gradient accumulation, learning rate warm-up, and mixed-precision training.

Model Capabilities

English speech recognition
Speech-to-text conversion

Use Cases

Speech transcription
Audio transcription
Convert English speech content into text
Word error rate 2.0133
Assistive tools
Subtitle generation
Automatically generate subtitles for English video content
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