AIbase
EN
Home
Wav2vec2 Base Timit Demo Colab92
W

Wav2vec2 Base Timit Demo Colab92

Developed by hassnain
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Low Word Error Rate#TIMIT Dataset
Downloads 16
Release Time : 5/1/2022

Model Overview

This model is a fine-tuned version of wav2vec2-base, focusing on English speech recognition tasks, achieving good recognition results on the TIMIT dataset

Model Features

Efficient Fine-tuning
Fine-tuned based on the pre-trained wav2vec2-base model, fully utilizing the powerful feature extraction capabilities of the pre-trained model
Good Performance
Achieved a word error rate (WER) of 0.416 on the TIMIT evaluation set, demonstrating good performance
Lightweight
Based on the wav2vec2-base architecture, relatively lightweight, suitable for deployment and experimentation

Model Capabilities

English Speech Recognition
Audio to Text
Speech Transcription

Use Cases

Speech Processing
Speech Transcription
Convert English speech content into text
Word error rate 0.416
Voice Command Recognition
Recognize simple voice commands
Education
Pronunciation Assessment
Used for pronunciation assessment for English learners
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase