Voice-Cloning-App
whisper
Voice-Cloning-App | whisper | |
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18 | 344 | |
1,247 | 60,617 | |
- | 3.1% | |
0.0 | 6.4 | |
about 1 year ago | 6 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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Voice-Cloning-App
- AI-genereeritud Politseikroonika
- Making Voices For System Members
- [Discussion] Is there any open-source alternative to voice.ai ? Looking for open-source speech to speech AI
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Voice actor I need died a decade ago. Is there a program which can create text-to-voice with the voice of a specific person through providing the software voice samples to work from?
I then feed the audio and transcriptions into this tool which handles assembling the dataset, and training s voice from that dataset.
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Trying to get it working
This Voice CLoning App is much easier to use then others, maybe you can give it a try?
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What's the most effective voice-cloning tool these days?
Although I had to fix some errors before I got it to work (mainly due to my data containing characters that do not appear in the alphabet), I achieved exceptional results with https://github.com/BenAAndrew/Voice-Cloning-App. It uses Tacotron2 and has a useful web GUI.
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Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices
Nice to see this here - Silero is also the engine that powers the "dataset builder" for Voice-Cloning-App (https://github.com/BenAAndrew/Voice-Cloning-App), a GUI TTS system that modifies Tacotron2 slightly.
Just sharing the links in case others are new to the space and keen to tinker on some solid open-source offerings.
- Show HN: Voice Clones for Creators
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Is there a guide to train talknet locally?
If you have an Nvidia card you can try this one
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Accel World Post Anime Fan Adaptation Progress Update #2: DeepFake AI Voice Creation Going Well. Looking for help.
Voice cloning app github:https://github.com/BenAAndrew/Voice-Cloning-App
whisper
- Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
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Why I Care Deeply About Web Accessibility And You Should Too
Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.
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How I built NotesGPT – a full-stack AI voice note app
Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.
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Ask HN: Can AI break a speech audio into individual words?
I found a pretty good discussion in the topic here:
https://github.com/openai/whisper/discussions/1243
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
There is a plot of language performance on their repo: https://github.com/openai/whisper
I am not aware of a multi-lingual leaderboard for speech recognition models.
- Ask HN: AI that allows you to make phone calls in a language you don't speak?
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Ask HN: Favorite Podcast Episodes of 2023?
I don't know how OP does it, but here's how I'd do it:
* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper
* Upload transcript to ChatGPT and ask it to summarize.
* Automate all the above.
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Need advice
Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper
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Subtitle is now open-source
Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.
[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.
Maybe you can rely on some sort of speaker identification to sort this out?
https://github.com/openai/whisper/discussions/264
What are some alternatives?
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Voice_cloner - A guide to clone anyone's voice and use it as a text-to-speech with android
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
vall-e - An unofficial PyTorch implementation of the audio LM VALL-E
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Awesome-DeepFake-Learning - The approach I work on DeepFake.
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)
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
whisper.cpp - Port of OpenAI's Whisper model in C/C++
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.