W

Wav2vec2 Conformer Rope Large 960h Ft

Developed by facebook
This model incorporates rotary position embedding technology, is pre-trained and fine-tuned on 960 hours of LibriSpeech data sampled at 16kHz, and is suitable for English speech recognition tasks.
Downloads 22.02k
Release Time : 4/18/2022

Model Overview

The Wav2Vec2 Conformer model combines rotary position embedding technology, focusing on high-precision English speech recognition, and supports audio input with a 16kHz sampling rate.

Model Features

Rotary Position Embedding Technology
Utilizes Rotary Position Embedding (RoPE) technology, enhancing the model's ability to process long speech sequences.
Large-scale Training Data
Pre-trained and fine-tuned on 960 hours of LibriSpeech audio data.
High-precision Recognition
Achieves a word error rate (WER) of 1.96 (Clean) and 3.98 (Other) on the LibriSpeech test sets.

Model Capabilities

English speech recognition
16kHz audio processing
Long speech sequence transcription

Use Cases

Speech Transcription
Meeting Transcription
Automatically transcribes meeting recordings into text records
Highly accurate transcription results
Voice Note Conversion
Converts voice notes into editable text
Voice Assistant
Voice Command Recognition
Recognizes and understands user voice commands
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase