silero-vad
cheetah
| silero-vad | cheetah | |
|---|---|---|
| 10 | 5 | |
| 2,866 | 552 | |
| - | 0.7% | |
| 6.9 | 8.3 | |
| 11 days ago | 14 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
silero-vad
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New models and developer products announced at OpenAI DevDay
>How do you detect speech starting and stopping?
https://github.com/snakers4/silero-vad
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[Discussion] Video Translation Task
you could look into https://github.com/guillaumekln/faster-whisper especially the VAD section (Voice Activity Detector) using https://github.com/snakers4/silero-vad
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Using Whisper to transcribe the entire Forensic Files series
I also had the same synchronization issue, so I wrote a WebUI/CLI that uses Silero-VAD that first splits the audio whenever there a silent portion (or every 30 seconds), and I haven't experienced it since:
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Whisper - A new free AI model from OpenAI that can transcribe Japanese (and many other languages) at up to "human level" accuracy
By the way, I've updated the WebUI to now also support using Silero VAD to break up the audio into distinct sections, and run Whisper on each section and then combine them into one single transcript/SRT file.
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[P] A more detailed post about Silero VAD on The Gradient
The VAD is always available on Github
- Silero VAD: pre-trained enterprise-grade voice activity detector
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[P] Silero VAD: One voice detector to rule them all
I also pinned some interesting comments here regarding mobile and IOT usage here - https://github.com/snakers4/silero-vad/issues/37
- One voice detector to rule them all
cheetah
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voice-to-text-notes VS cheetah - a user suggested alternative
2 projects | 8 Oct 2022
Picovoice processes voice data locally on device without sending it to the cloud. Hence, nobody has access to the data other than the owner, making it 100% private. It is more accurate than Google or IBM. Offers 100 hours of free transcription per month.
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Transcribe Speech to Text with Python for Free
Cool! Leopard operates on files but Cheetah can do live (streaming)
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Voice to Text Options that respect privacy
I already knew pocketsphinx or Mozilla DeepSpeech, but Picospeech Cheetah is probably the best, offline, STT system currently.
- ELI5: Why do we wake up when we hear our names?
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Control a Java application with offline voice commands - source code in comments!
Looks really interesting. Can you explain the license? It is not clear to me as Cheetah (the underlying speech to text engine?) is not open source but this SDK is which requires Cheetah?
What are some alternatives?
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
picovoice - On-device voice assistant platform powered by deep learning
kaldi-active-grammar - Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time
vosk-browser - A speech recognition library running in the browser thanks to a WebAssembly build of Vosk
GassistPi - Google Assistant for Single Board Computers
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
mr-robot - A multi-utility discord bot. Playback hilarious voice tracks on-demand, wiki for anything, turn on/off IoT enabled devices, and more!
rhino - Rhino is an open-source implementation of JavaScript written entirely in Java
hollow-knight-voice-commands - A fun little python tool to play Hollow Knight with only voice commands
rhino - On-device Speech-to-Intent engine powered by deep learning
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
psdb - Python flasher and gdb server for various ARM debug probes.