whisper-asr-webservice
NeMo
whisper-asr-webservice | NeMo | |
---|---|---|
11 | 29 | |
1,664 | 10,128 | |
- | 3.1% | |
7.8 | 9.8 | |
13 days ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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whisper-asr-webservice
- How I converted a podcast into a knowledge base using Orama search and OpenAI whisper and Astro
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Bazarr AI subs
Check https://github.com/openai/whisper & https://github.com/ahmetoner/whisper-asr-webservice
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Bulk download subtitles
I see that bazarr had already been mentioned. If there are no subtitles available, you can also generate the subtitles by connecting bazarr to the AI model whisper which you can self host locally. I run everything in containers, tried it a few times and it works quite well for me! It does however use some computational resources to generate the subtitles, how long processing takes depends on the chosen model accuracy.
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Writeout.ai – Transcribe and translate any audio files. Free and open source
You (essentially) need GPU but here you go:
https://github.com/ahmetoner/whisper-asr-webservice
For your requirements the medium.en model (max) should be satisfactory.
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Whispers AI Modular Future
What utilities related to Whisper do you wish existed? What have you had to build yourself?
On the end user application side, I wish there was something that let me pick a podcast of my choosing, get it fully transcribed, and get an embeddings search plus answer q&a on top of that podcast or set of chosen podcasts. I've seen ones for specific podcasts, but I'd like one where I can choose the podcast. (Probably won't build it)
Also on the end user side, I wish there was an Otter alternative (still paid $30/mo, but unlimited minutes per month) that had longer transcription limits. (Started building this, not much interest from users though)
Things I've seen on the dev tool side:
Gladia (API call version of Whisper)
Whisper.cpp
Whisper webservice (https://github.com/ahmetoner/whisper-asr-webservice) - via this thread
Live microphone demo (not real time, it still does it in chunks) https://github.com/mallorbc/whisper_mic
Streamlit UI https://github.com/hayabhay/whisper-ui
Whisper playground https://github.com/saharmor/whisper-playground
Real time whisper https://github.com/shirayu/whispering
Whisper as a service https://github.com/schibsted/WAAS
Improved timestamps and speaker identification https://github.com/m-bain/whisperX
MacWhisper https://goodsnooze.gumroad.com/l/macwhisper
Crossplatform desktop Whisper that supports semi-realtime https://github.com/chidiwilliams/buzz
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I made a free transcription service powered by Whisper AI
I think there's been talk to do speaker diarization with whisper-asr-webservice[0] which is also written in python and should be able to make use of goodies such as pyannote-audio, py-webrtcvad, etc.
Whisper is great but at the point we get to kludging various things together it starts to make more sense to use something like Nvidia NeMo[1] which was built with all of this in mind and more
[0] - https://github.com/ahmetoner/whisper-asr-webservice
[1] - https://github.com/NVIDIA/NeMo
- whisper-asr-webservice-client - A self-hosted OpenAI Whisper API client
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Show HN: A self-hosted OpenAI Whisper API client
(read the docs in the repo)
In terms of me not storing your data for this (I don't) I guess you'll just have to trust me?
[0] - https://github.com/ahmetoner/whisper-asr-webservice
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[P] OpenAI Whisper ASR Webservice API released
For more details: https://github.com/ahmetoner/whisper-asr-webservice
NeMo
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[P] Making a TTS voice, HK-47 from Kotor using Tortoise (Ideally WaveRNN)
I don't test WaveRNN but from the ones that I know the best that is open source is FastPitch. And it's easy to use, here is the tutorial for voice cloning.
- [N] Huggingface/nvidia release open source GPT-2B trained on 1.1T tokens
- [D] What is the best open source text to speech model?
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[D] JAX vs PyTorch in 2023
Nowadays... bigger repos like https://github.com/NVIDIA/NeMo are all pytorch, lots of work also published by Meta and Microsoft is all torch. I check new work on GitHub all the time and I haven't seen a Tensorflow repo in years except one.
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[D] What's stopping you from working on speech and voice?
- https://github.com/NVIDIA/NeMo
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Can I use PyTorch to build a fast capitalization recoverer?
Can’t you use the NeMo model and just strip the punctuation from the output again if you don’t want it? You can also fine tune the the model with capitalization only if you look at the examples https://github.com/NVIDIA/NeMo/blob/stable/tutorials/nlp/Punctuation_and_Capitalization.ipynb The capitalization and punctuation are annotated separately (U indicates that the word should be upper cased, and O - no capitalization ). The model seems to be a token level classifier not seq to seq so there should also be a way to get just the capitalization part but you would have to look into the model as it’s not shown in the examples.
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I made a free transcription service powered by Whisper AI
I think there's been talk to do speaker diarization with whisper-asr-webservice[0] which is also written in python and should be able to make use of goodies such as pyannote-audio, py-webrtcvad, etc.
Whisper is great but at the point we get to kludging various things together it starts to make more sense to use something like Nvidia NeMo[1] which was built with all of this in mind and more
[0] - https://github.com/ahmetoner/whisper-asr-webservice
[1] - https://github.com/NVIDIA/NeMo
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Mozilla Common Voice - Korean Language is live - Help Build a Korean Corpus for Training AI/Navi/etc
[커먼보이스 전자우편](mailto:[email protected]) || Common Voice || Korean Language Homepage || FAQs || Speaking Aloud and Reviewing Recordings || Sentence Collector || NVidia/NeMo
- Whisper – open source speech recognition by OpenAI
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Using Edge Biometrics For Better AI Security System Development
The final security grain was added with speech-to-text anti-spoofing built on QuartzNet from the Nemo framework. This model provides a decent quality user experience and is suitable for real-time scenarios. To measure how close what the person says to what the system expects, requires calculation of the Levenshtein distance between them.
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
generate-subtitles - Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
espnet - End-to-End Speech Processing Toolkit
whisper-asr-webservice-client
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
gitbar-2023 - New release of gitbar website
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production