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thangdepzai's Projects

3m-asr icon 3m-asr

3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition

aesrc2020 icon aesrc2020

Data preperation scripts, training pipeline and baseline experiment results for the Interspeech 2020 Accented English Speech Recognition Challenge (AESRC).

asr-accent-analysis icon asr-accent-analysis

Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models.

asr-proto icon asr-proto

Implemintetion of linear attention conformer - LAC

awesome-autodl icon awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-automl icon awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

bilatticernn-confidence icon bilatticernn-confidence

Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks https://arxiv.org/abs/1910.11933 or https://ieeexplore.ieee.org/document/9053264

bookm icon bookm

App quản lý đọc sách

cec2013lsgo icon cec2013lsgo

Package for using CEC'2013 Large Scale Global Optimization benchmark in Python, this benchmark is used also in CEC'2014 and in CEC'2015

conferencingspeech2022 icon conferencingspeech2022

Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge in Online Conferencing Applications

conformer icon conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

conformer_ocr icon conformer_ocr

Transformer OCR is a Optical Character Recognition tookit built for researchers working on both OCR for both Vietnamese and English. This project only focused on variants of vanilla Transformer (Conformer) and Feature Extraction (CNN-based approach).

cream icon cream

This is a collection of our NAS and Vision Transformer work.

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