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Piper Alternatives
Similar projects and alternatives to piper
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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willow
Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
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silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
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espeak-ng
eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
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StyleTTS2
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better piper alternative or higher similarity.
piper reviews and mentions
Posts with mentions or reviews of piper.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-17.
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
If you're not already aware, the primary developer of Mimic 3 (and its non-Mimic predecessor Larynx) continued TTS-related development with Larynx and the renamed project Piper: https://github.com/rhasspy/piper
Last year Piper development was supported by Nabu Casa for their "Year of Voice" project for Home Assistant and it sounds like Mike Hansen is going to continue on it with their support this year.
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Coqui.ai Is Shutting Down
Coqui-ai was a commercial continuation of Mozilla TTS and STT (https://github.com/mozilla/TTS).
At the time (2018-ish), it was really impressive for on-device voice synthesis (with a quality approaching the Google and Azure cloud-based voice synthesis options) and open source, so a lot of people in the FOSS community were hoping it could be used for a privacy-respecting home assistant, Linux speech synthesis that doesn't suck, etc.
After Mozilla abandoned the project, Coqui continued development and had some really impressive one-shot voice cloning, but pivoted to marketing speech synthesis for game developers. They were probably having trouble monetizing it, and it doesn't surprise me that they shut down.
An equivalent project that's still in active development and doing really well is Piper TTS (https://github.com/rhasspy/piper).
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OpenVoice: Versatile Instant Voice Cloning
There isn't an ElevenLabs app like that, but I think that's the most expedient method, by far.
(details and warning: in-depth, opinionated take, written almost for my own benefit, I've done a lot of work near here recently but haven't had to organize my thoughts until now)
Why? Local inference is hard. You need two things: the clips to voice model (which we have here, but bleeding edge), and text + voice -> speech model.
Text to voice to speech, locally, has excellent prior art for me, in the form of a Raspberry Pi-based ONNX inference library called [Piper](https://github.com/rhasspy/piper). I should just be able to copy that, about an afternoon of work!
Except...when these models are trained, they encode plaintext to model input using a library called eSpeak. eSpeak is basically f(plaintext) => ints representing phonemes. eSpeak is a C library and written in a style I haven't seen in a while and depends on other C libraries. So I end up needing to port like 20K lines of C to Dart...or I could use WASM, but over the last year, I lost the ability to be able to reason through how to get WASM running in Dart, both native and web.
It's a really annoying technical problem: the speech models all use this eSpeak C library to turn plaintext => model input (tokenized phonemes).
Re: ElevenLabs
I had looked into the API months ago and vaguely remembered it was _very_ complete.
I spent the last hour or two playing with it, and reconfirmed that. They have enough API surface that you could build an API that took voice recordings, created a voice, and then did POSTs / socket connection to get audio data from that voice at will.
Only issue is pricing IMHO, $0.18 for 1000 characters. :/ But this is something I feel very comfortable saying wouldn't be _that_ much work to build and open source with a "bring your own API key" type thing. I had forgotten about Eleven Labs till your post, which made me realize there was an actually meaningful and quite moving use case for it.
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Hello guys, any selfhosted alternative to eleven labs?
piper (https://github.com/rhasspy/piper)
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[D] What offline TTS Model is good enough for a realistic real-time task?
I have been using piper-tts and it is GREAT and super lightweight / easy to use. On a 2080 I'm sure you can use the HQ models no worries!
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Easy implement TTS libary for cpp
So i found some library and one which is from github and have read.me or good documentation called piper (https://github.com/rhasspy/piper) so apparently this library is for rasbery pi and yes there is TXT function and i need to modify again to make it more simple but my simple project don't need this kind of big complex libary and all i need is what i said before just a function that can output sound from computer using c++ libary.
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Piper-whistle – Tool for piper TTS voice model management
piper-whistle is a tool to manage voices used with the piper (https://github.com/rhasspy/piper) speech synthesizer. Main motivation was to download and reference models in a structured way. You may browse the docs online at https://think-biq.gitlab.io/piper-whistle/
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
You may want to try Piper for this case (RPi 4): https://github.com/rhasspy/piper
- Piper: A fast, local neural text to speech system
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Open Source Libraries
rhasspy/piper
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Stats
Basic piper repo stats
33
3,737
8.9
17 days ago
rhasspy/piper is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of piper is C++.
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