piper

A fast, local neural text to speech system (by rhasspy)

Piper Alternatives

Similar projects and alternatives to piper

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.
  • WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
    9 projects | news.ycombinator.com | 17 Jan 2024
    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.

  • Coqui.ai Is Shutting Down
    4 projects | news.ycombinator.com | 3 Jan 2024
    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).

  • OpenVoice: Versatile Instant Voice Cloning
    10 projects | news.ycombinator.com | 1 Jan 2024
    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.

  • Hello guys, any selfhosted alternative to eleven labs?
    3 projects | /r/selfhosted | 11 Dec 2023
    piper (https://github.com/rhasspy/piper)
  • [D] What offline TTS Model is good enough for a realistic real-time task?
    2 projects | /r/MachineLearning | 10 Dec 2023
    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!
  • Piper-whistle – Tool for piper TTS voice model management
    4 projects | news.ycombinator.com | 5 Dec 2023
    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/
  • StyleTTS2 – open-source Eleven Labs quality Text To Speech
    10 projects | news.ycombinator.com | 19 Nov 2023
    You may want to try Piper for this case (RPi 4): https://github.com/rhasspy/piper
  • Open Source Libraries
    25 projects | /r/AudioAI | 2 Oct 2023
    rhasspy/piper
  • Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
    4 projects | news.ycombinator.com | 2 Oct 2023
    > What's the best open source text to speech?

    I haven't re-evaluated OSS TTS options for a few months but from my own experience earlier in the year I've been pleased with the results I've gotten from Piper:

    * https://github.com/rhasspy/piper

    I've primarily used it with the LibriTTS-based voices due to their license but if it's for personal local use you can probably use some of the other even higher quality voices.

    The official samples are here: https://rhasspy.github.io/piper-samples/

    Here's a small number of pre-rendered samples I've used that were generated from a WIP Piper port of my Dialogue Tool[0] project: https://rancidbacon.gitlab.io/piper-tts-demos/

    While it's not perfect & output quality varies for a number of reasons, I've been using it because it's MIT licensed & there's multiple diverse voice options with licenses that suit my purposes.

    (Piper and its predecessors Larynx & Mimic3 are significantly ahead of where other FLOSS options had been up until their existence in terms of quality.)

    [0] https://rancidbacon.itch.io/dialogue-tool-for-larynx-text-to...

  • Piper Text-to-Speech in Windows 10
    2 projects | /r/Windows10 | 1 Oct 2023
    Using 'wget' download latest Linux binary: https://github.com/rhasspy/piper/releases
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    blog.jetbrains.com | 3 Mar 2024
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Stats

Basic piper repo stats
33
3,215
9.1
7 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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