28 citations · 88 across the 23 of their papers we have counts for
24 papers
Robust Fingerprinting of Genomic Databases
Tianxi Ji, Erman Ayday, Emre Yilmaz +1
Database fingerprinting has been widely used to discourage unauthorized redistribution of data by providing means to identify the source of data leakages. However, there is no fing…
Robust Fingerprint of Location Trajectories Under Differential Privacy
Yuzhou Jiang, Emre Yilmaz, Erman Ayday
Directly releasing those data raises privacy and liability (e.g., due to unauthorized distribution of such datasets) concerns since location data contain users' sensitive informati…
Privacy-Preserving Database Fingerprinting
Tianxi Ji, Erman Ayday, Emre Yilmaz +1
When sharing sensitive relational databases with other parties, a database owner aims to (i) have privacy guarantees for the database entries, (ii) have liability guarantees (via f…
Multi-Encoder-Decoder Transformer for Code-Switching Speech Recognition
Xinyuan Zhou, Emre Yılmaz, Yanhua Long +2
Code-switching (CS) occurs when a speaker alternates words of two or more languages within a single sentence or across sentences. Automatic speech recognition (ASR) of CS speech ha…
Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR
Xinyuan Zhou, Grandee Lee, Emre Yılmaz +3
The Transformer has shown impressive performance in automatic speech recognition. It uses the encoder-decoder structure with self-attention to learn the relationship between the hi…
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech
N. Wilkinson, A. Biswas, E. Yılmaz +3
This paper considers the impact of automatic segmentation on the fully-automatic, semi-supervised training of automatic speech recognition (ASR) systems for five-lingual code-switc…
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages
Astik Biswas, Emre Yılmaz, Febe de Wet +2
This paper reports on the semi-supervised development of acoustic and language models for under-resourced, code-switched speech in five South African languages. Two approaches are…
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…
Semi-supervised acoustic model training for speech with code-switching
Emre Yılmaz, Mitchell McLaren, Henk van den Heuvel +1
In the FAME! project, we aim to develop an automatic speech recognition (ASR) system for Frisian-Dutch code-switching (CS) speech extracted from the archives of a local broadcaster…
Generative x-vectors for text-independent speaker verification
Longting Xu, Rohan Kumar Das, Emre Yılmaz +2
Speaker verification (SV) systems using deep neural network embeddings, so-called the x-vector systems, are becoming popular due to its good performance superior to the i-vector sy…
Code-Switching Detection with Data-Augmented Acoustic and Language Models
Emre Yılmaz, Henk van den Heuvel, David A. van Leeuwen
In this paper, we investigate the code-switching detection performance of a code-switching (CS) automatic speech recognition (ASR) system with data-augmented acoustic and language…
Building a Unified Code-Switching ASR System for South African Languages
Emre Yılmaz, Astik Biswas, Ewald van der Westhuizen +2
We present our first efforts towards building a single multilingual automatic speech recognition (ASR) system that can process code-switching (CS) speech in five languages spoken w…
Articulatory Features for ASR of Pathological Speech
Emre Yılmaz, Vikramjit Mitra, Chris Bartels +1
In this work, we investigate the joint use of articulatory and acoustic features for automatic speech recognition (ASR) of pathological speech. Despite long-lasting efforts to buil…
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech
Emre Yılmaz, Henk van den Heuvel, David A. van Leeuwen
In this paper, we describe several techniques for improving the acoustic and language model of an automatic speech recognition (ASR) system operating on code-switching (CS) speech.…