M

Mms Lid 256

Developed by facebook
This is a speech language identification model based on the Wav2Vec2 architecture, capable of recognizing 256 languages, and is part of Facebook's Massively Multilingual Speech (MMS) project.
Downloads 48.38k
Release Time : 6/13/2023

Model Overview

This model is designed for speech language identification tasks, classifying input audio into one of 256 languages. It is fine-tuned on 256 languages using a 1-billion-parameter Wav2Vec2 architecture.

Model Features

Multilingual Support
Supports speech recognition for 256 languages, covering most major global languages and many minority languages.
Large-Scale Pretraining
Based on a 1-billion-parameter Wav2Vec2 architecture with powerful speech feature extraction capabilities.
High Accuracy
Delivers excellent performance across multiple languages, accurately identifying speech language categories.

Model Capabilities

Speech Language Identification
Multilingual Audio Classification
Real-Time Language Detection

Use Cases

Speech Technology
Multilingual Voice Assistants
Automatically detects the user's spoken language to support multilingual voice assistants.
Accurately identifies 256 languages, enhancing the language adaptability of voice assistants.
Speech Content Analysis
Analyzes language distribution in audio content.
Useful for media monitoring, content moderation, and similar scenarios.
Educational Technology
Language Learning Applications
Identifies the language background of learners' pronunciation.
Helps personalize the language learning experience.
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