Greg - LPCNet quantised to 3000 kbit/s would indeed be an interesting comparison; Jean-Marc and I have been quantising LPCNet at beneath 2000 bit/s, in my case to squeeze it through a HF Radio channel. I suspect the focus on 3000 bit/s is because that is the lowest rate that makes sense for VOIP.

Adrian - there is a paper linked from the Lyra page.

- David

On 28/2/21 11:09 pm, Adrian Musceac wrote:
While interesting and newsworthy, I'd assume from the start that this codec has the same advantages and pitfalls as other ML applications, i.e. works very well in 90% of cases and fails dramatically in 10% of edge cases. Even though the page specifies it is aimed at a completely different domain (not radio) I would say there is no chance it can replace Codec2 soon, and I think the same for LPCNet unfortunately. Sometimes 99.9 % of reliability of a robotic voice is better than 90% reliability of high quality voice. Amateur radio seems to me like a combination of all kinds of languages, foreign accents and all sorts of messy real world input.

That said, I'd still be interested to read a paper regarding their approach and improvements to state of the art.

Adrian

On February 28, 2021 2:16:16 AM UTC, David Rowe <da...@rowetel.com> wrote:

    Hi Michael,

    Thanks for the post - very interesting.  Sure is an exciting time
    for speech coding.

    The speech quality of Lyra is vastly better than anything Codec 2
    can offer at a similar bit rate (3000 bits/s). Codec 2 would sound
    closer to the Speex 3 kbit/s samples on the Lyra page.   Lyra has
    reasonable CPU complexity (single thread of a modern smartphone),
    but that's still much higher than Codec 2 (which runs on
    microcontrollers). Lyra presently has no low bit rates modes
    (Codec 2 is commonly used at 700 bits/ for HF radio
    applications).  Codec 2 is open source and GPL Licensed.  I'm not
    clear where Lyra stands on those issues.  The latency of Lyra
    appears quite high (90ms).

    Lyra is a Machine Learning (ML) based codec, so in a similar class
    to Jean-Marc Valin's LPCNet, which is open source. Our initial
    attempt with using LPCNet in real world scenarios (e.g. FreeDV
    2020 for HF radio) shows a lot of promise, but has some speaker
    dependence and possibly quantisation issues (it breaks down on
    some speakers - sounds great on others). The Lyra team claim to
    have put a lot of work into speaker-independence, and the project
    has a lot of resources behind it :-)

    Codec 2 presently has one very part-time person working on the
    core speech codec and several other people kindly contributing to
    other parts of Codec 2/FreeDV :-)

    At 3kbit/s Lyra would fit neatly into VHF/UHF radio type
    applications, that would be a cool demo.

    Cheers,
    David

    On 28/2/21 4:50 am, mgraves mstvp.com wrote:

    Hi,

    While I’ve watched from afar, this is my first message to this list.

    I was wondering how Codec 2 compares to this latest effort from
    Google; Lyra.

    
https://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html?m=1

    Michael Graves

    mgra...@mstvp.com <mailto:mgra...@mstvp.com>

    o: (713) 861-4005

    c: (713) 201-1262

    sip:mgra...@mjg.onsip.com



    _______________________________________________
    Freetel-codec2 mailing list
    Freetel-codec2@lists.sourceforge.net
    https://lists.sourceforge.net/lists/listinfo/freetel-codec2



_______________________________________________
Freetel-codec2 mailing list
Freetel-codec2@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/freetel-codec2
_______________________________________________
Freetel-codec2 mailing list
Freetel-codec2@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/freetel-codec2

Reply via email to