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PaddleSpeech

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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

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LISTING INFORMATION

PaddleSpeech: An Open Source AI Speech Toolkit

Introduction

PaddleSpeech is a powerful open-source speech processing toolkit developed by PaddlePaddle. It offers advanced capabilities for both speech-to-text (STT) and text-to-speech (TTS) applications, making it a versatile tool for developers and researchers.

Quick Start

Getting started with PaddleSpeech is straightforward. Simply clone the repository from GitHub, install the required dependencies, and follow the provided documentation to set up your environment.

Speech-to-Text

PaddleSpeech provides state-of-the-art models for converting spoken language into text. With high accuracy and support for multiple languages, it can be integrated into various applications, from virtual assistants to transcription services.

Text-to-Speech

The TTS features of PaddleSpeech enable users to synthesize natural-sounding speech from text. This functionality is ideal for creating voiceovers, enhancing accessibility, and developing interactive applications.

Released Models

PaddleSpeech offers a range of pre-trained models suitable for different use cases, ensuring flexibility and ease of use for developers.

Demos

Users can explore various demos available in the toolkit to see PaddleSpeech in action. These demos showcase the capabilities of both STT and TTS functionalities.

API Reference

The comprehensive API reference simplifies the integration of PaddleSpeech into existing projects, providing clear guidelines and examples.

Benefits for Users

PaddleSpeech empowers users with a robust, open-source solution for speech processing, fostering innovation and collaboration within the AI community.

Explore PaddleSpeech today to unlock the potential of speech technologies in your projects!

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