opentts
buzz
opentts | buzz | |
---|---|---|
10 | 21 | |
822 | 9,937 | |
- | - | |
1.3 | 8.5 | |
about 1 month ago | 21 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
opentts
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Is Sampling Dictionary Text To Speech Allowed?
I think using something like openTTS might be safer. Though I'm pretty sure no one will ever find out you used their online tts.
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Home Assistant’s Year of the Voice – Chapter 2
The most exciting thing about Home Assistant's "Year of the Voice", for me, is that it is apparently enabling/supporting @synesthesiam's continued phenomenal contributions to the FLOSS off-line voice synthesis space.
The quality, variety & diversity of voices that synesthesiam's "Larynx" TTS project (https://github.com/rhasspy/larynx/) made available, completely transformed the Free/Open Source Text To Speech landscape.
In addition "OpenTTS" (https://github.com/synesthesiam/opentts) provided a common API for interacting with multiple FLOSS TTS projects which showed great promise for actually enabling "standing on the shoulders of" rather than re-inventing the same basic functionality every time.
The new "Piper" TTS project mentioned in the article is the apparent successor to Larynx and, along with the accompanying LibriTTS/LibriVox-based voice models, brings to FLOSS TTS something it's never had before:
* Too many voices! :)
Seriously, the current LibriTTS voice model version has 900+ voices (of varying quality levels), how do you even navigate that many?![0]
And that's not even considering the even higher quality single speaker models based on other audio recording sources.
Offline TTS while immensely valuable for individuals, doesn't seem to be attractive domain for most commercial entities due to lack of lock-in/telemetry opportunities so I was concerned that we might end up missing out on further valuable contributions from synesthesiam's specialised skills & experience due to financial realities & the human need for food. :)
I'm glad we instead get to see what happens next.
[0] See my follow-up comment about this.
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Free text-to-speech software (or low budget)
Yes, if you scroll down on the github page you can read the extensive README.md file on its setup.
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Use OpenTTS for Android
I was wondering if there was a way to use a private OpenTTS server for the Android Text-To-Speech engine.
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Ask HN: Are there any good open source Text-to-Speech tools?
If your use case allows for a web API, I've had good experience running OpenTTS[0].
It packages several models, including Coqui AI's TTS which I tend to use the most. There's a handy Docker image, too.
[0] https://github.com/synesthesiam/opentts
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gosling: natural sounding text-to-speech in the terminal
https://github.com/synesthesiam/opentts is run through Docker, which is pretty simple, and provides a GUI in the browser. There is a good selection of voice engines and voices, and the local Web server has API endpoints. I've been using this on Linux Mint lately.
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NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
If you've not already encountered them I'd definitely encourage you to check out these Free/Open Source projects too:
* Larynx: https://github.com/rhasspy/larynx/
* OpenTTS: https://github.com/synesthesiam/opentts
* Likely Mimic3 in the near future: https://mycroft.ai/blog/mimic-3-preview/
Larynx in particular has a focus on "faster than real-time" while OpenTTS is an attempt to package & provide common REST API to all Free/Open Source Text To Speech systems so the FLOSS ecosystem can build on previous work supported by short-lived business interests, rather than start from scratch every time.
AIUI the developer of the first two projects now works for Mycroft AI & is involved in the development of Mimic3 which seems very promising given how much of an impact on quality his solo work has had in just the past couple of years or so.
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Standalone apps / redistributable docker?
I haven't personally dealt with Docker much, but am trying to make use of some open source stuff that seems to require Docker to run (https://github.com/synesthesiam/opentts).
buzz
- Buzz: Transcribe and translate audio offline on your personal computer
- MacWhisper: Transcribe audio files on your Mac
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Build Personal ChatGPT Using Your Data
Easiest 1-click way to install and use Stable Diffusion on your computer."
https://github.com/easydiffusion/easydiffusion
And while Whisper is OpenAI, it is trivial to use locally and extremely usefull
https://github.com/chidiwilliams/buzz
- automated transcription software that is HIPAA compliant?
- Question: Does anyone know of an AI or ChatGPT tool to create automatic SRT caption files by uploading a video?
- Brauchbare Speech-to-Text Lösungen für Windows?
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I've pretty much had it with Premiere.
Install this for Resolve
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As a Foreign student, I record letures alot so I can review it anytime. Thanks to Obsidian Audio Player its feels so effortless to review those records.
Just use this one: https://github.com/chidiwilliams/buzz
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Whispers AI Modular Future
What utilities related to Whisper do you wish existed? What have you had to build yourself?
On the end user application side, I wish there was something that let me pick a podcast of my choosing, get it fully transcribed, and get an embeddings search plus answer q&a on top of that podcast or set of chosen podcasts. I've seen ones for specific podcasts, but I'd like one where I can choose the podcast. (Probably won't build it)
Also on the end user side, I wish there was an Otter alternative (still paid $30/mo, but unlimited minutes per month) that had longer transcription limits. (Started building this, not much interest from users though)
Things I've seen on the dev tool side:
Gladia (API call version of Whisper)
Whisper.cpp
Whisper webservice (https://github.com/ahmetoner/whisper-asr-webservice) - via this thread
Live microphone demo (not real time, it still does it in chunks) https://github.com/mallorbc/whisper_mic
Streamlit UI https://github.com/hayabhay/whisper-ui
Whisper playground https://github.com/saharmor/whisper-playground
Real time whisper https://github.com/shirayu/whispering
Whisper as a service https://github.com/schibsted/WAAS
Improved timestamps and speaker identification https://github.com/m-bain/whisperX
MacWhisper https://goodsnooze.gumroad.com/l/macwhisper
Crossplatform desktop Whisper that supports semi-realtime https://github.com/chidiwilliams/buzz
- Any suggestions for easy ways to add subtitles to YouTube videos?
What are some alternatives?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
openai-whisper-cpu - Improving transcription performance of OpenAI Whisper for CPU based deployment
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
StoryToolkitAI - An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models
Thorsten-Voice - Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.
audapolis - an editor for spoken-word audio with automatic transcription
larynx - End to end text to speech system using gruut and onnx
whisper-diarization - Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
text-to-speech-ubuntu - 🙊 Setup "selectable" text to speech / TTS on Ubuntu Linux 24.04 22.04 22.10 23.04 23.10 . Ideal for speed reading, programming, editing and writing.