GithubHelp home page GithubHelp logo

speaker-identification / you-only-speak-once Goto Github PK

View Code? Open in Web Editor NEW
139.0 5.0 35.0 13.31 MB

Deep Learning - one shot learning for speaker recognition using Filter Banks

Jupyter Notebook 97.78% Python 1.74% Dockerfile 0.03% JavaScript 0.26% CSS 0.05% HTML 0.14%
triplet-loss siamese-networks speaker-recognition voice-authentication neural-network one-shot-learning audio speech deep-speaker speaker-identification

you-only-speak-once's Issues

ModuleNotFoundError: No module named 'numba.decorators'

sudo docker run --rm -p 5000:5000 yoso
 * Serving Flask app "demo/app.py"
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
Usage: flask run [OPTIONS]
Try 'flask run --help' for help.

Error: While importing "fbank_net.demo.app", an ImportError was raised:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/site-packages/flask/cli.py", line 240, in locate_app
    __import__(module_name)
  File "/fbank_net/demo/app.py", line 8, in <module>
    from .preprocessing import extract_fbanks
  File "/fbank_net/demo/preprocessing.py", line 1, in <module>
    import librosa
  File "/usr/local/lib/python3.6/site-packages/librosa/__init__.py", line 12, in <module>
    from . import core
  File "/usr/local/lib/python3.6/site-packages/librosa/core/__init__.py", line 125, in <module>
    from .time_frequency import *  # pylint: disable=wildcard-import
  File "/usr/local/lib/python3.6/site-packages/librosa/core/time_frequency.py", line 11, in <module>
    from ..util.exceptions import ParameterError
  File "/usr/local/lib/python3.6/site-packages/librosa/util/__init__.py", line 77, in <module>
    from .utils import *  # pylint: disable=wildcard-import
  File "/usr/local/lib/python3.6/site-packages/librosa/util/utils.py", line 15, in <module>
    from .decorators import deprecated
  File "/usr/local/lib/python3.6/site-packages/librosa/util/decorators.py", line 9, in <module>
    from numba.decorators import jit as optional_jit
ModuleNotFoundError: No module named 'numba.decorators'

Share Jupyter notebook for fbank_net

The title is self explanatory! Could you share also the notebook you have used to calibrate the fbank_net ?
It seems (as per your notes it performs better)

Thanks
pb

Pre-trained model and the data

Hey,
Thx for your great job and sharing it.

Can I please have the pre-trained models, the data and info for how to use them for my purpose?
I do not have enough hardware to train a model like this.

how to focus on positive distances?

Thanks for the repo!

I have a question... you've said that "Hence our model is optimized to maximize negative accuracy".
Can you help me how to maximize positive accuracy in this your code?

Paper?

Is this project based on a paper?

Demo not accepting audio

Hi, great work and I’m looking forward to test this.
But I tried running the demo through docker and also on my machine but the app.js doesn’t seem to trigger microphone input in browser (Safari and Firefox).
Thanks!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.