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Sherpa-ONNX

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AI GitHub ReposNatural Language Processing ToolsText to Speech#72Open source · Android, iOS

Sherpa-ONNX is an open-source project offering speech-to-text, text-to-speech, speaker diarization, and more using Kaldi with onnxruntime. It supports multiple platforms and programming languages, enabling offline capabilities.

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Description

Sherpa-ONNX is an open-source project hosted on GitHub, designed to provide a comprehensive suite of speech processing capabilities. It includes functionalities such as speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and voice activity detection (VAD). The project leverages the next-generation Kaldi framework integrated with onnxruntime, allowing it to operate without an internet connection.

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Sherpa-ONNX is versatile, supporting a wide range of platforms including embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, and x86_64 servers. It also supports websocket server/client configurations and is compatible with 12 programming languages, making it accessible to a broad developer audience.

The project is particularly beneficial for developers looking to implement advanced speech processing features in their applications without relying on cloud-based services. This is especially useful in scenarios where internet connectivity is limited or where data privacy is a concern.

Sherpa-ONNX is continually updated by a community of contributors, ensuring that it remains at the forefront of speech processing technology. Its open-source nature allows developers to customize and optimize the tool to fit their specific needs, fostering innovation and collaboration within the community.

  • CategoryNatural Language Processing Tools
  • Pricing ModelOpen source
  • DeploymentSelf-hosted
  • PlatformsAndroid, iOS

Sherpa-ONNX's Core Features

  • Speech-to-text conversion

  • Text-to-speech synthesis

  • Speaker diarization

  • Speech enhancement

  • Source separation

  • Voice activity detection (VAD)

  • Offline operation

  • Support for multiple platforms

Getting Started with Sherpa-ONNX

  1. Clone: Download the repository from GitHub

  2. Install dependencies: Set up necessary libraries and tools

  3. Configure: Adjust settings for your specific use case

  4. Execute: Run the application on your chosen platform

  5. Optimize: Fine-tune performance for better results

Sherpa-ONNX's Use Cases

  • Speech-to-Text Applications
  • Text-to-Speech Systems
  • Speaker Diarization
  • Speech Enhancement
  • Voice Activity Detection

FAQ from Sherpa-ONNX

From k2-fsa

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