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Ai Light Dance Singing Ft Wav2vec2 Large Xlsr 53
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Ai Light Dance Singing Ft Wav2vec2 Large Xlsr 53

Developed by gary109
This model is an automatic speech recognition model fine-tuned on the AI_LIGHT_DANCE - ONSET-SINGING dataset based on facebook/wav2vec2-large-xlsr-53, primarily used for singing voice recognition tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Singing voice recognition#Low word error rate#XLSR-53 fine-tuning
Downloads 23
Release Time : 6/15/2022

Model Overview

This is an automatic speech recognition model optimized for singing voice recognition tasks, fine-tuned based on the wav2vec2-large-xlsr-53 architecture, achieving a word error rate of 20.43% on the evaluation set.

Model Features

Optimized for Singing Voice Recognition
Specially fine-tuned for singing voice, performing better in singing scenarios compared to general speech recognition models.
Low Word Error Rate
Achieves a word error rate of 20.43% on the evaluation set, demonstrating good performance.
Based on XLSR Architecture
Utilizes a large-scale pre-trained model for cross-lingual speech representation learning as its foundation.

Model Capabilities

Singing voice recognition
Audio-to-text conversion
Music content analysis

Use Cases

Music Analysis
Singing Lyrics Transcription
Automatically converts singing recordings into lyric text
Word error rate 20.43%
Music Content Retrieval
Searches for music segments via lyric content
Music Education
Singing Practice Evaluation
Analyzes the alignment between singing recordings and standard lyrics
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