activity
20162019
most citedMulti-Graph Decoding for Code-Switching ASR

3 citations · 3 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CL2019

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…

cs.CL20193 cited

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…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

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.…

stat.ML2016

Calibration of Phone Likelihoods in Automatic Speech Recognition

David A. van Leeuwen, Joost van Doremalen

In this paper we study the probabilistic properties of the posteriors in a speech recognition system that uses a deep neural network (DNN) for acoustic modeling. We do this by redu…