ai 语音开源,

🗣 SL提问: ai 语音开源

✍️ Ai批改: There are several open-source AI speech projects available、Here are a few notable ones:

1、Mozilla DeepSpeech: This is an open-source speech-to-text engine developed by Mozilla、It's based on a deep learning approach and can be trained on various datasets.

2、CMU Sphinx: Developed by Carnegie Mellon University, this is another popular open-source speech recognition engine、It's known for its flexibility and can be used in a variety of applications.

3、Kaldi: This is a toolkit for speech recognition, originally developed at IBM、It's widely used in research and industry for building custom speech recognition systems.

4、pocketsphinx: A lightweight decoder derived from the sphinx-4 speech recognition system、It's designed to run efficiently on embedded devices.

5、Julius: An open-source large vocabulary continuous speech recognition decoder written in C++.

6、OpenEars: An iOS library that allows developers to add speech recognition capabilities to their apps.

7、Wav2Letter++: Developed by Facebook AI Research, it's a fast automatic speech recognition (ASR) system.

8、PocketSphinx: A smaller, faster version of CMU Sphinx, optimized for mobile devices.

9、RNNTranscriber: A Python-based ASR system using Recurrent Neural Networks.

10、Speech Recognition Library: A Python library that provides speech recognition capabilities using the CMU Sphinx back-end.

11、Whisper: An open-source automatic speech recognition system created by OpenAI、It's particularly good for real-time speech recognition.

12、Mozilla TTS: For text-to-speech synthesis.

13、Coqui STT: An open-source speech-to-text engine that uses deep learning models.

14、Mozilla Deepspeech: Another project by Mozilla, focusing on end-to-end acoustic modeling.

15、ESPnet: A toolkit for end-to-end speech processing.

16、SimpleTTS: A simple text-to-speech library.

17、MaryTTS: A multilingual text-to-speech synthesizer.

18、Tacotron 2: An open-source implementation of Google's Tacotron 2 model for speech synthesis.

These projects offer different features and levels of complexity, so you might want to explore them further to see which one fits your needs best.