AIbase
EN
Home
Wavtokenizer
W

Wavtokenizer

Developed by ggml-org
WavTokenizer is a model for speech processing, supporting 75-token speech encoding.
Speech Recognition#High-precision speech segmentation#75-token efficient processing#Low-latency speech analysis
Downloads 839
Release Time : 12/18/2024

Model Overview

This model is primarily used for speech signal processing and encoding, capable of converting speech signals into token sequences, suitable for tasks such as speech recognition and speech synthesis.

Model Features

Efficient speech encoding
Supports 75-token speech encoding, enabling efficient processing of speech signals.
Multi-task support
Suitable for various speech processing tasks such as speech recognition and speech synthesis.

Model Capabilities

Speech encoding
Speech recognition
Speech synthesis

Use Cases

Speech recognition
Real-time speech-to-text
Converts real-time speech signals into text, suitable for voice assistants and transcription services.
Speech synthesis
Text-to-speech
Converts text into natural speech, suitable for voice assistants and audiobooks.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase