activity
20172022
most citedContaminated speech training methods for robust DNN-HMM distant speech recognition

6 citations · 7 across the 8 of their papers we have counts for

collaborators

14 papers

cs.CL2022

A neural prosody encoder for end-ro-end dialogue act classification

Kai Wei, Dillon Knox, Martin Radfar +6

Dialogue act classification (DAC) is a critical task for spoken language understanding in dialogue systems. Prosodic features such as energy and pitch have been shown to be useful…

cs.CL2021

Context-Aware Transformer Transducer for Speech Recognition

Feng-Ju Chang, Jing Liu, Martin Radfar +4

End-to-end (E2E) automatic speech recognition (ASR) systems often have difficulty recognizing uncommon words, that appear infrequently in the training data. One promising method, t…

eess.AS2021

Multi-Channel Transformer Transducer for Speech Recognition

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris +1

Multi-channel inputs offer several advantages over single-channel, to improve the robustness of on-device speech recognition systems. Recent work on multi-channel transformer, has…

cs.SD2019

Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space

Tina Raissi, Santiago Pascual, Maurizio Omologo

In many applications of multi-microphone multi-device processing, the synchronization among different input channels can be affected by the lack of a common clock and isolated drop…

eess.AS2019

DiPCo -- Dinner Party Corpus

Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko +7

We present a speech data corpus that simulates a "dinner party" scenario taking place in an everyday home environment. The corpus was created by recording multiple groups of four A…

cs.SD2019

LOCATA challenge: speaker localization with a planar array

Xinyuan Qian, Andrea Cavallaro, Alessio Brutti +1

This document describes our submission to the 2018 LOCalization And TrAcking (LOCATA) challenge (Tasks 1, 3, 5). We estimate the 3D position of a speaker using the Global Coherence…