158 citations · 895 across the 103 of their papers we have counts for
13 papers · 1 filter
Independent language modeling architecture for end-to-end ASR
Van Tung Pham, Haihua Xu, Yerbolat Khassanov +5
The attention-based end-to-end (E2E) automatic speech recognition (ASR) architecture allows for joint optimization of acoustic and language models within a single network. However,…
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Jibin Wu, Emre Yilmaz, Malu Zhang +2
Artificial neural networks (ANN) have become the mainstream acoustic modeling technique for large vocabulary automatic speech recognition (ASR). A conventional ANN features a multi…
Teacher-Student Training for Robust Tacotron-based TTS
Rui Liu, Berrak Sisman, Jingdong Li +3
While neural end-to-end text-to-speech (TTS) is superior to conventional statistical methods in many ways, the exposure bias problem in the autoregressive models remains an issue t…
Black-box Attacks on Automatic Speaker Verification using Feedback-controlled Voice Conversion
Xiaohai Tian, Rohan Kumar Das, Haizhou Li
Automatic speaker verification (ASV) systems in practice are greatly vulnerable to spoofing attacks. The latest voice conversion technologies are able to produce perceptually natur…
Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help?
Chitralekha Gupta, Emre Yılmaz, Haizhou Li
Background music affects lyrics intelligibility of singing vocals in a music piece. Automatic lyrics alignment and transcription in polyphonic music are challenging tasks because t…
A Modularized Neural Network with Language-Specific Output Layers for Cross-lingual Voice Conversion
Yi Zhou, Xiaohai Tian, Emre Yılmaz +2
This paper presents a cross-lingual voice conversion framework that adopts a modularized neural network. The modularized neural network has a common input structure that is shared…
End-to-End Code-Switching ASR for Low-Resourced Language Pairs
Xianghu Yue, Grandee Lee, Emre Yılmaz +2
Despite the significant progress in end-to-end (E2E) automatic speech recognition (ASR), E2E ASR for low resourced code-switching (CS) speech has not been well studied. In this wor…
Neural Population Coding for Effective Temporal Classification
Zihan Pan, Jibin Wu, Yansong Chua +2
Neural encoding plays an important role in faithfully describing the temporally rich patterns, whose instances include human speech and environmental sounds. For tasks that involve…
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks
Zihan Pan, Yansong Chua, Jibin Wu +3
Auditory front-end is an integral part of a spiking neural network (SNN) when performing auditory cognitive tasks. It encodes the temporal dynamic stimulus, such as speech and audi…
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu, Yansong Chua, Malu Zhang +3
Spiking neural networks (SNNs) represent the most prominent biologically inspired computing model for neuromorphic computing (NC) architectures. However, due to the non-differentia…
Large-Scale Speaker Diarization of Radio Broadcast Archives
Emre Yılmaz, Adem Derinel, Zhou Kun +4
This paper describes our initial efforts to build a large-scale speaker diarization (SD) and identification system on a recently digitized radio broadcast archive from the Netherla…
Multi-Graph Decoding for Code-Switching ASR
Emre Yılmaz, Samuel Cohen, Xianghu Yue +2
In the FAME! Project, a code-switching (CS) automatic speech recognition (ASR) system for Frisian-Dutch speech is developed that can accurately transcribe the local broadcaster's b…
Code-Switching Detection Using ASR-Generated Language Posteriors
Qinyi Wang, Emre Yılmaz, Adem Derinel +1
Code-switching (CS) detection refers to the automatic detection of language switches in code-mixed utterances. This task can be achieved by using a CS automatic speech recognition…