M

Musical Instrument Detection

Developed by dima806
A foundational speech recognition model based on the wav2vec 2.0 architecture, pre-trained on 960 hours of English speech data
Downloads 2,109
Release Time : 8/25/2023

Model Overview

This model is a foundational speech recognition model using the wav2vec 2.0 architecture, primarily designed for converting speech to text.

Model Features

End-to-End Speech Recognition
Learns speech representations directly from raw audio without manually designed feature extraction
Self-Supervised Pre-training
Utilizes large amounts of unlabeled speech data for pre-training to enhance model generalization
Efficient Fine-tuning
Can be fine-tuned with small amounts of labeled data to adapt to specific speech recognition tasks

Model Capabilities

English Speech Recognition
Speech Feature Extraction
Speech-to-Text Conversion

Use Cases

Speech Technology
Voice Assistants
Used as the speech recognition component for building voice assistants and dialogue systems
Subtitle Generation
Automatically converts audio/video content into text subtitles
Music Analysis
Instrument Detection
Detects types of instruments in audio (as shown in Kaggle examples)
Accuracy metrics available
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase