tortoise-tts
OpenVoice
tortoise-tts | OpenVoice | |
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145 | 14 | |
12,193 | 26,751 | |
- | 21.7% | |
7.7 | 8.7 | |
about 1 month ago | 1 day ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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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
OpenVoice
- OpenVoice: Instant Voice Cloning
- OpenVoice V2 Released
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Ask HN: Voice ID adoption at financial institutions
Given the inevitability of easy voice cloning[1], it seems irresponsible to be using voice as a positive authentication signal.
Unfortunately, major US financial institutions seem to be ramping up adoption of this technology[2].
Am I missing something?
[1] https://github.com/myshell-ai/OpenVoice
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OpenAI: Navigating the Challenges and Opportunities of Synthetic Voices
They might have been forced to give a signal after this rose on HN today:
https://research.myshell.ai/open-voice
https://news.ycombinator.com/item?id=39861578
- OpenVoice: Versatile Instant Voice Cloning
- FLaNK Weekly 31 December 2023
What are some alternatives?
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
piper - A fast, local neural text to speech system
bark - π Text-Prompted Generative Audio Model
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
JavaOnRaspberryPi - Sources and scripts for the book "Getting started with Java on the Raspberry Pi"
larynx - End to end text to speech system using gruut and onnx
temporian - Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€