hmm_tts_build VS larynx

Compare hmm_tts_build vs larynx and see what are their differences.

hmm_tts_build

a direct repository for building and using a "simple" tts (by kastnerkyle)

larynx

End to end text to speech system using gruut and onnx (by rhasspy)
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hmm_tts_build larynx
1 18
2 788
- -
1.8 0.0
about 2 years ago 11 months ago
Shell Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

hmm_tts_build

Posts with mentions or reviews of hmm_tts_build. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-25.
  • Speech Synthesis on Linux
    10 projects | news.ycombinator.com | 25 Sep 2021
    A nice enhancement for the system is having TTS read out the currently selected text, triggered by a key shortcut.

    I tried festival and it too complicated and my version was too to run the better voices model.

    Instead I've used this repo to use upgraded flite: https://github.com/kastnerkyle/hmm_tts_build/

    I have mapped keyboard shortcuts Win+1 for normal speed, Win+2 for faster and Win+3 for really fast reading speed. I can use it while reading, to enhance my focus. Neat.

larynx

Posts with mentions or reviews of larynx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-27.
  • Home Assistant’s Year of the Voice – Chapter 2
    7 projects | news.ycombinator.com | 27 Apr 2023
    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.

  • Text to speech
    4 projects | /r/selfhosted | 21 Feb 2023
    Larynx!
  • Ask HN: Are there any good open source Text-to-Speech tools?
    15 projects | news.ycombinator.com | 1 Jan 2023
    I've had good results with https://github.com/rhasspy/larynx
  • Recommend a Text to Speech tool ?
    1 project | /r/RASPBERRY_PI_PROJECTS | 12 Nov 2022
    Larynx is a really good text-to-speech engine
  • Klipper on android
    1 project | /r/klippers | 18 Oct 2022
    I was able to install 3.7 following this guide. https://github.com/rhasspy/larynx/issues/9
  • I built an audio only Gemini client.
    2 projects | /r/geminiprotocol | 5 Jun 2022
  • NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
    14 projects | news.ycombinator.com | 17 May 2022
    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.

  • Need a recommendation: Self hosted speech to text service
    1 project | /r/selfhosted | 21 Mar 2022
    I haven't used it on it's own, but Larynx has worked well for me for Rhasspy
  • NATSpeech: High Quality Text-to-Speech Implementation with HuggingFace Demo
    4 projects | news.ycombinator.com | 16 Feb 2022
  • Question: Does anybody know of a working Text to Speech for python on pi?
    1 project | /r/raspberry_pi | 29 Jan 2022

What are some alternatives?

When comparing hmm_tts_build and larynx you can also consider the following projects:

RHVoice - a free and open source speech synthesizer for Russian and other languages

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality