Matcha-TTS VS whisper

Compare Matcha-TTS vs whisper and see what are their differences.

whisper

Robust Speech Recognition via Large-Scale Weak Supervision (by openai)
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Matcha-TTS whisper
1 344
397 61,408
- 4.3%
8.0 6.4
18 days ago 10 days ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Matcha-TTS

Posts with mentions or reviews of Matcha-TTS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

whisper

Posts with mentions or reviews of whisper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

What are some alternatives?

When comparing Matcha-TTS and whisper you can also consider the following projects:

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

audio-webui - A webui for different audio related Neural Networks

silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector

faster-whisper - Faster Whisper transcription with CTranslate2

buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

PaddleSpeech - 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.

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

piper - A fast, local neural text to speech system

whisper.cpp - Port of OpenAI's Whisper model in C/C++

wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.