espeak-ng
wenet
espeak-ng | wenet | |
---|---|---|
28 | 5 | |
3,588 | 3,699 | |
2.8% | 1.6% | |
7.2 | 9.6 | |
1 day ago | 4 days ago | |
C | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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espeak-ng
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
After some brief research it seems the issue you're seeing may be a known bug in at least some versions/release of espeak-ng.
Here's some potentially related links if you'd like to dig deeper:
* "questions about mandarin data packet #1044": https://github.com/espeak-ng/espeak-ng/issues/1044
* "ESpeak NJ-1.51’s Mandarin pronunciation is corrupted #12952": https://github.com/nvaccess/nvda/issues/12952
* "The pronunciation of Mandarin Chinese using ESpeak NJ in NVDA is not normal #1028": https://github.com/espeak-ng/espeak-ng/issues/1028
* "When espeak-ng translates Chinese (cmn), IPA tone symbols are not output correctly #305": https://github.com/rhasspy/piper/issues/305
* "Please default ESpeak NG's voice role to 'Chinese (Mandarin, latin as Pinyin)' for Chinese to fix #12952 #13572": https://github.com/nvaccess/nvda/issues/13572
* "Cmn voice not correctly translated #1370": https://github.com/espeak-ng/espeak-ng/issues/1370
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IAMA senior javascript dev, ask me anything
I'm skeptical about a senior JavaScript developer claiming to be bored. Nonetheless, let's see. How would you go about modifying [this](ng/blob/master/emscripten/espeakng_glue.idl) IDL file, this C++ glue code, and the relevant Make file to compile eSpeak NG to JavaScript with Emscripten with SSML support enabled?
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Is there a good text to speech program for linux?
eSpeak NG supports running on Linux, BSD, Mac, Android, Windows, has been compiled to WASM with Emscripten. See also espeak and meSpeak.js.
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Vietnamese Phonology
I may have a solution, BUT I'm at an airport right now, so... Perhaps tonight I can give you some ideas. There is a program I used to make a few presets for myself. https://github.com/espeak-ng/espeak-ng/blob/master/docs/languages.md
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[P] Balacoon: Fastest neural text-to-speech on CPU
For this one, I used espeak (https://github.com/espeak-ng/espeak-ng) as a text processor. It is almost 17 years old software and is pretty lacking, unfortunately. On the other hand, it's super fast and supports tens of languages. Long story short, punctuation introduces phrase break with a pause of fixed length, and capitalization is ignored.
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Balacoon: python package for text-to-speech
I didnt not release trainy parts to build voices. I am considering, but there is so many packages already (coqui, espnet, piper, nemo, fairseq to name a few) that i focused on usability for now. Support for new languages is a different question. Everyone wants to train fancy neural nets. But support for new language is about writing rules and having language expertise. I did it for English (https://github.com/balacoon/en_us_normalization/tree/c1019cf878aa6baf25d6fff719cf418cca5a3107/production/classify). Doing it for all the other languages would probably take me a lifetime. Other speech synthesis solutions use 17-years old espeak for this purpose (https://github.com/espeak-ng/espeak-ng/blob/master/docs/languages.md). I introduced the fallback to it in Balacoon too. But generally, it is outdated technology and I believe we should do better.
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Is there a good audio-to-IPA phone app that doesn’t assume a particular language?
espeak-ng works by first converting text to IPA and then pronouncing that. But im not sure im aware of a way to input arbitrary IPA, and also the quality is probably too low for you.
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I Created A Web Speech API NPM Package Called SpeechKit
There are espeak-ng https://github.com/espeak-ng/espeak-ng and pocketsphinx https://github.com/cmusphinx/pocketsphinx which can be used locally without making external requests.
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Which languages have readily available IPA equivalents to learn from?
There are automatic tools to convert a written form of a language to IPA, I'm personally aware of espeak-ng, which supports* a lot of languages.
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Ask HN: Are there any good open source Text-to-Speech tools?
I've had good luck with https://github.com/espeak-ng/espeak-ng (for very specific purposes, and I was willing to wrangle IPA)
wenet
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Open Source Libraries
wenet-e2e/wenet
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Deploying speech recognition models at scale
Try wenet wenet
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Ask HN: Are there any good open source Text-to-Speech tools?
For STT, take a look at Wenet: https://github.com/wenet-e2e/wenet
They provide support for running in a Raspberry Pi and it runs in real-time. I have tried the desktop version and the quality is good enough when the audio is clean.
- Project Alice – an open source virtual assistant that can run offline
- Wenet results on Gigaspeech - on par with best results (Espnet). Pretrained model is available .
What are some alternatives?
RHVoice - a free and open source speech synthesizer for Russian and other languages
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
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
piper - A fast, local neural text to speech system
FasterTransformer - Transformer related optimization, including BERT, GPT
scrcpy - Display and control your Android device
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
fstalign - An efficient OpenFST-based tool for calculating WER and aligning two transcript sequences.
SAM - Software Automatic Mouth - Tiny Speech Synthesizer
functorch - functorch is a prototype of JAX-like composable function transforms for PyTorch. [Moved to: https://github.com/pytorch/functorch]