28 citations · 88 across the 23 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
Acoustic Modeling for Automatic Lyrics-to-Audio Alignment
Chitralekha Gupta, Emre Yılmaz, Haizhou Li
Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic…
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…
Semi-supervised acoustic model training for five-lingual code-switched ASR
Astik Biswas, Emre Yılmaz, Febe de Wet +2
This paper presents recent progress in the acoustic modelling of under-resourced code-switched (CS) speech in multiple South African languages. We consider two approaches. The firs…
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
Emre Yılmaz, Vikramjit Mitra, Ganesh Sivaraman +1
The rapid population aging has stimulated the development of assistive devices that provide personalized medical support to the needies suffering from various etiologies. One promi…
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…