nerd-dictation
tortoise-tts
nerd-dictation | tortoise-tts | |
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28 | 144 | |
1,164 | 11,755 | |
- | - | |
2.9 | 8.2 | |
about 1 month ago | 18 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
nerd-dictation
- why nerd-dictation support in NixOS is stuck ?
- Is anyone doing always-on voice to text with a local llama at home?
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Apollo dev posts backend code to Git to disprove Reddit’s claims of scrapping and inefficiency
nerd-dictation
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How to use notion in gnome
There's no built-in way of doing this in GNOME, but you might already get a bit further with tools like https://github.com/ideasman42/nerd-dictation
- What voice transcriber do you use?
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Disability accessibility tools for Linux such as eyetrackers and voice commands?
I'm not familiar with Talon so I don't know if this is a suitable suggestion but nerd-dictation seemed to have been well received here when it was last promoted and it looks like it's still in active development.
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Voice Control was supposed to be the Future. Is Linux lagging behind?
TBF Microsoft dropped IE, windows phone... that is not uncommon. But the OP is right, maybe not much for voice control but for dictation certainly. The FLOSS community is always far behind and thus always struggle with new technologies. We should be prepared. Since you've mentioned small open source project here's a demo of NerdDitaction. FYI Linux do have mobile devices developing.
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I've made voice input for Linux that I use instead of a keyboard and mouse
Yeah you get me. I did have RSI which was amplified by my other issue, but it was that issue that progressed and why can't type now, not RSI. I'd be interested in hearing about using numen in combination with typing, but it's likely not ideal yet. Maybe just using speech to text for some things could help? It's not my project but there's: https://github.com/ideasman42/nerd-dictation that uses the same speech recognition as numen.
- Voice to text for Linux
- nerd-dictation: Simple, hackable offline speech to text - using the VOSK-API.
tortoise-tts
- FLaNK Stack Weekly 12 February 2024
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OpenVoice: Versatile Instant Voice Cloning
I use Tortoise TTS. It's slow, a little clunky, and sometimes the output gets downright weird. But it's the best quality-oriented TTS I've found that I can run locally.
https://github.com/neonbjb/tortoise-tts
- [discussion] text to voice generation for textbooks
- DALL-E 3: Improving image generation with better captions [pdf]
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Open Source Libraries
neonbjb/tortoise-tts
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Running Tortoise-TTS - IndexError: List out of range
EDIT: It appears to be the exact same issue as this
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My Deep Learning Rig
It was primarily being used to train TTS models (see https://github.com/neonbjb/tortoise-tts), which largely fit into a single GPUs memory. So, for data parallelism, x8 PCIe isn't that much of a concern.
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PlayHT2.0: State-of-the-Art Generative Voice AI Model for Conversational Speech
Previously TortoiseTTS was associated with PlayHT in some way, although the exact connection is a bit vague [0].
From the descriptions here it sounds a lot like AudioLM / SPEAR TTS / some of Meta's recent multilingual TTS approaches, although those models are not open source, sounds like PlayHT's approach is in a similar spirit. The discussion of "mel tokens" is closer to what I would call the classic TTS pipeline in many ways... PlayHT has generally been kind of closed about what they used, would be interesting to know more.
I assume the key factor here is high quality, emotive audio with good data cleaning processes. Probably not even a lot of data, at least in the scale of "a lot" in speech, e.g. ASR (millions of hours) or TTS (hundreds to thousands). As opposed to some radically new architectural piece never before seen in the literature, there are lots of really nice tools for emotive and expressive TTS buried in recent years of publications.
Tacotron 2 is perfectly capable of this type of stuff as well, as shown by Dessa [1] a few years ago (this writeup is a nice intro to TTS concepts). With the limit largely being, at some point you haven't heard certain phonetic sounds before in a voice, and need to do something to get plausible outcomes for new voices.
[0] Discussion here https://github.com/neonbjb/tortoise-tts/issues/182#issuecomm...
[1] https://medium.com/dessa-news/realtalk-how-it-works-94c1afda...
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Comparing Tortoise and Bark for Voice Synthesis
Tortoise GitHub repo - Source code, documentation, and usage guide
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Show HN: Gdańsk AI – full stack AI voice chatbot (STT, LLM, TTS, auth, payments)
TorToiSe (https://github.com/neonbjb/tortoise-tts) produces the best quality speech of any freely available model. However, its long inference times makes it impractical for voice chatbots like Gdansk.
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
recasepunc - Model for recasing and repunctuating ASR transcripts
bark - 🔊 Text-Prompted Generative Audio Model
cursorless - Don't let the cursor slow you down
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
kaldi-active-grammar - Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time
piper - A fast, local neural text to speech system
monkeytype - The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
vosk-android-demo - Offline speech recognition IME for Android with Vosk library.
larynx - End to end text to speech system using gruut and onnx