8000 mnabihali (Mohamed Nabih) · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
View mnabihali's full-sized avatar
🎯
Focusing
🎯
Focusing
8 followers · 31 following

Block or report mnabihali

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mnabihali/README.md

Hi, I'm Mohamed Nabih Ali 👋


About me: Hi, I'm Mohamed Nabih Ali. Currently a Post-doc researcher in @Fondazione Bruno Kessler. Previously a PhD student from University of Trento. Currently, I am doing my research at @SpeechTek Lab, in @Fondazione Bruno Kessler. My research activites includes Speech Enhancement, Speech Recgonition, Spoken Language Understanding, and Federated Learning.

Talking about Personal Stuffs:

  • 🌱 I’m currently learning Speech enhancement for speech classification.
  • 👯 I’m looking to collaborate on Speech enhancmeent to robust back-end speech recognition.
  • 🤝 I'm happy if you share me the new topics or opened positions related to speech signals processing.
  • 🤔 I’m looking for help with Speech Processing and Signal Processing 😭.
  • 💬 Ask me about anything, I am happy to help.
  • 📫 How to reach me: mnabih@fbk.eu.

Languages and Tools:

h9-tect

 mnabihali

mnabihali

Mohamed Nabih Profile summary

Popular repositories Loading

  1. Joint-training-embeddings Joint-training-embeddings Public

    This is the official implementation of " Enhancing Embeddings for Speech Classification in Noisy Conditions"

    Python 10 3

  2. FL-WavLM-with-Adapters FL-WavLM-with-Adapters Public

    This repo. contains our implementation for Federated Learning with PEFT methods (e.g. Adapters) integrated with frozen WavLM

    Python 3 1

  3. k2-Flower k2-Flower Public

    Federated Learning ASR using k2 and Flower

    Python 2

  4. Joint_training Joint_training Public

    The official implementation of the paper "Time-Domain Joint Training Strategies of Speech Enhancement and Intent Classification Neural Models"

    1

  5. mnabihali mnabihali Public

    My profile repository

    1

  6. Enhancing-Embeddings Enhancing-Embeddings Public

    This is the official implementation of our paper "ENHANCING PRE-TRAINED SPEECH EMBEDDINGS FOR SPEECH RECOGNITION IN NOISY CONDITIONS".

    1

0