Area of mouth opening estimation from speech acoustics using blind deconvolution technique. - Cong-Thanh Do; Abdeldjalil Aïssa-El-Bey; Dominique Pastor; André Goalic (AVSP, 2009)

Recognizing cochlear implant-like spectrally reduced speech with HMM-based ASR: experiments with MFCCs and PLP coefficients. - Cong-Thanh Do; Dominique Pastor; Gaël Le Lan; André Goalic (INTERSPEECH, 2010)

On the Recognition of Cochlear Implant-Like Spectrally Reduced Speech With MFCC and HMM-Based ASR. - Cong-Thanh Do; Dominique Pastor; André Goalic (IEEE Trans. Speech Audio Process., 2010)

On Normalized MSE Analysis of Speech Fundamental Frequency in the Cochlear Implant-Like Spectrally Reduced Speech. - Cong-Thanh Do; Dominique Pastor; André Goalic (IEEE Trans. Biomed. Eng., 2010)

Cochlear implant-like processing of speech signal for speaker verification. - Cong-Thanh Do; Claude Barras (SAPA@INTERSPEECH, 2012)

Combining cepstral normalization and cochlear implant-like speech processing for microphone array-based speech recognition. - Cong-Thanh Do; Mohammad Javad Taghizadeh; Philip N. Garner (SLT, 2012)

A novel framework for noise robust ASR using cochlear implant-like spectrally reduced speech. - Cong-Thanh Do; Dominique Pastor; André Goalic (Speech Commun., 2012)

Augmenting short-term cepstral features with long-term discriminative features for speaker verification of telephone data. - Cong-Thanh Do; Claude Barras; Viet Bac Le; Achintya Kumar Sarkar (INTERSPEECH, 2013)

Objective evaluation of HMM-based speech synthesis system using kullback-leibler divergence. - Cong-Thanh Do; Marc Evrard; A. Leman; Christophe d'Alessandro; Albert Rilliard; J.-L. Crebouw (INTERSPEECH, 2014)

Speech-to-text development for Slovak, a low-resourced language. - Cong-Thanh Do; Lori Lamel; Jean-Luc Gauvain (SLTU, 2014)

Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification. - Achintya Kumar Sarkar; Cong-Thanh Do; Viet Bac Le; Claude Barras (IEEE Signal Process. Lett., 2014)

Improved Automatic Speech Recognition Using Subband Temporal Envelope Features and Time-Delay Neural Network Denoising Autoencoder. - Cong-Thanh Do; Yannis Stylianou (INTERSPEECH, 2017)

Multistatic Doppler-Based Marine Ships Tracking. - Cong-Thanh Do; Hoa Van Nguyen (ICCAIS, 2018)

Weighting Time-Frequency Representation of Speech Using Auditory Saliency for Automatic Speech Recognition. - Cong-Thanh Do; Yannis Stylianou (INTERSPEECH, 2018)

Subband Temporal Envelope Features and Data Augmentation for End-to-end Recognition of Distant Conversational Speech. - Cong-Thanh Do (ICASSP, 2019)

Multiple marine ships tracking from multistatic Doppler data with unknown clutter rate. - Cong-Thanh Do; Tran Thien Dat Nguyen (ICCAIS, 2019)

End-to-End Speech Recognition with High-Frame-Rate Features Extraction. - Cong-Thanh Do (CoRR, 2019)

Tracking Multiple Targets from Multistatic Doppler Radar with Unknown Probability of Detection. - Cong-Thanh Do; Hoa Van Nguyen (Sensors, 2019)

Tracking Multiple Marine Ships via Multiple Sensors with Unknown Backgrounds. - Cong-Thanh Do; Tran Thien Dat Nguyen; Weifeng Liu (Sensors, 2019)

Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness. - Cong-Thanh Do; Shucong Zhang; Thomas Hain (EUSIPCO, 2020)

Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition. - Shucong Zhang; Cong-Thanh Do; Rama Doddipatla; Steve Renals (ICASSP, 2020)

Multiple-Hypothesis CTC-Based Semi-Supervised Adaptation of End-to-End Speech Recognition. - Cong-Thanh Do; Rama Doddipatla; Thomas Hain (ICASSP, 2021)

Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers. - Shucong Zhang; Cong-Thanh Do; Rama Doddipatla; Erfan Loweimi; Peter Bell 001; Steve Renals (ICASSP, 2021)

A Tractable Multi-target Detection Model for Line-of-Sight Measurements. - Jonah Ong; Du Yong Kim; Cong-Thanh Do (ICCAIS, 2021)

An Adaptive Multi-Sensor Generalised Labelled Multi-Bernoulli Filter for Linear Gaussian Models. - Tran Thien Dat Nguyen; Cong-Thanh Do; Hoa Van Nguyen (ICCAIS, 2022)

Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer. - Cong-Thanh Do; Mohan Li; Rama Doddipatla (INTERSPEECH, 2022)

Multi-object tracking with an adaptive generalized labeled multi-Bernoulli filter. - Cong-Thanh Do; Tran Thien Dat Nguyen; Diluka Moratuwage; Changbeom Shim; Yon Dohn Chung (Signal Process., 2022)

Robust multi-sensor generalized labeled multi-Bernoulli filter. - Cong-Thanh Do; Tran Thien Dat Nguyen; Hoa Van Nguyen (Signal Process., 2022)

Towards a Unified End-to-End Language Understanding System for Speech and Text Inputs. - Mohan Li; Catalin Zorila; Cong-Thanh Do; Rama Doddipatla (ASRU, 2023)

Cumulative Attention Based Streaming Transformer ASR with Internal Language Model Joint Training and Rescoring. - Mohan Li; Cong-Thanh Do; Rama Doddipatla (ICASSP, 2023)

Domain Adaptive Self-supervised Training of Automatic Speech Recognition. - Cong-Thanh Do; Rama Doddipatla; Mohan Li; Thomas Hain (INTERSPEECH, 2023)

Improving Accented Speech Recognition Using Data Augmentation Based on Unsupervised Text-to-Speech Synthesis. - Cong-Thanh Do; Shuhei Imai; Rama Doddipatla; Thomas Hain (EUSIPCO, 2024)

WHISMA: A Speech-LLM to Perform Zero-Shot Spoken Language Understanding. - Mohan Li; Cong-Thanh Do; Simon Keizer; Youmna Farag; Svetlana Stoyanchev; Rama Doddipatla (SLT, 2024)