28 citations · 88 across the 23 of their papers we have counts for
6 papers · 1 filter
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.…