Lobe Chat
tortoise-tts
Lobe Chat | tortoise-tts | |
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6 | 145 | |
30,561 | 11,881 | |
17.7% | - | |
9.9 | 8.0 | |
about 15 hours ago | 11 days ago | |
TypeScript | Jupyter Notebook | |
MIT | Apache License 2.0 |
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Lobe Chat
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The AI Revolution Is Crushing Thousands of Languages
Get your OpenAI API key and then use it on one of the hundreds of open source frontends available, such as: https://github.com/lobehub/lobe-chat
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Claude 3 beats GPT-4 on Aider's code editing benchmark β aider
The workbench UI sucks, what's nifty about it? It's cumbersome and slow. I would recommend using a ChatUI (huggingface ChatUI, or https://github.com/lobehub/lobe-chat) and use the API that way.
- Show HN: I made an app to use local AI as daily driver
- FLaNK Stack Weekly 12 February 2024
- FLaNK 25 December 2023
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ChatGPT-Next-Web VS lobe-chat - a user suggested alternative
2 projects | 18 Sep 2023
LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework. It supports one-click free deployment of your private ChatGPT/LLM web application.By building a powerful plugin ecosystem, ChatGPT not only can provide real-time news updates, but it can also assist you in easily querying documents and accessing various e-commerce data. This allows ChatGPT to play a key role in a wider range of fields. If you are interested in writing plugins, itprovide detailed component development documentation, SDKs, and template files.
tortoise-tts
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
The quality also depends on the type of model. I'm not really sure what ESpeak-ng actually uses? The classical TTS approaches often use some statistical model (e.g. HMM) + some vocoder. You can get to intelligible speech pretty easily but the quality is bad (w.r.t. how natural it sounds).
There are better open source TTS models. E.g. check https://github.com/neonbjb/tortoise-tts or https://github.com/NVIDIA/tacotron2. Or here for more: https://www.reddit.com/r/MachineLearning/comments/12kjof5/d_...
- 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
What are some alternatives?
langui - UI for your AI. Open Source Tailwind components tailored for your GPT, generative AI, and LLM projects.
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
doc-chatbot - Document chatbot β multiple files, topics, chat windows and chat history. Powered by GPT.
bark - π Text-Prompted Generative Audio Model
Automated-release-notes - Automated release notes generation thanks to GPT and linear
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
big-AGI - Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.
piper - A fast, local neural text to speech system
ChatGPT Auto Refresh - β» Keeps ChatGPT sessions fresh to avoid network errors + Cloudflare checks
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
deep-chat - Fully customizable AI chatbot component for your website
larynx - End to end text to speech system using gruut and onnx