Picovoice/speech-to-text-benchmark
speech to text benchmark framework
- Stars
- 699
- Forks
- 73
- Open issues
- 0
- Last push
- 14d ago
About speech-to-text-benchmark
speech-to-text-benchmark is a free, open-source AI voice and audio tool by Picovoice, written mainly in Python. speech to text benchmark framework. It has 699 GitHub stars and 73 forks, and was last updated 14d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 699
- Last update
- 14d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
GPT-SoVITS63k stars · 1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
transformers168k stars · 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Speech19k stars · 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)
vosk-api15k stars · Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
MockingBird37k stars · 🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
VoxCPM40k stars · VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
speech-to-text-benchmark FAQ
Is speech-to-text-benchmark free?
Yes. speech-to-text-benchmark is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does speech-to-text-benchmark run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does speech-to-text-benchmark need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is speech-to-text-benchmark still maintained?
Yes. It was last updated 14d ago and has 0 open issues on GitHub.
What are alternatives to speech-to-text-benchmark?
Similar free, open-source tools include GPT-SoVITS, transformers, Speech, vosk-api.