B
Bin Ma
Researcher at Institute for Infocomm Research Singapore
Publications - 201
Citations - 4036
Bin Ma is an academic researcher from Institute for Infocomm Research Singapore. The author has contributed to research in topics: Speaker recognition & Speaker diarisation. The author has an hindex of 29, co-authored 198 publications receiving 3718 citations. Previous affiliations of Bin Ma include Agency for Science, Technology and Research.
Papers
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Journal ArticleDOI
Spoken Language Recognition: From Fundamentals to Practice
Haizhou Li,Bin Ma,Kong Aik Lee +2 more
TL;DR: This paper attempts to provide an introductory tutorial on the fundamentals of the theory and the state-of-the-art solutions of spoken language recognition, from both phonological and computational aspects.
Journal ArticleDOI
Text-dependent speaker verification: Classifiers, databases and RSR2015
TL;DR: The HiLAM system, based on a three layer acoustic architecture, and an i-vector/PLDA system, outperforms the state-of-the-art i- vector system in most of the scenarios and provides a reference evaluation scheme and a reference performance on RSR2015 database to the research community.
Journal ArticleDOI
A Vector Space Modeling Approach to Spoken Language Identification
Haizhou Li,Bin Ma,Chin-Hui Lee +2 more
TL;DR: The proposed VSM approach leads to a discriminative classifier backend, which is demonstrated to give superior performance over likelihood-based n-gram language modeling (LM) backend for long utterances.
Patent
Apparatus and method for speech utterance verification
Bin Ma,Haizhou Li,Minghui Dong +2 more
TL;DR: In this paper, an apparatus is provided for speech utterance verification, which is configured to compare a first prosody component from a recorded speech with a second prosodic component for a reference speech.
Proceedings ArticleDOI
The RedDots Data Collection for Speaker Recognition
Kong Aik Lee,Anthony Larcher,Guangsen Wang,Patrick Kenny,Niko Brümmer,David A. van Leeuwen,Hagai Aronowitz,Marcel Kockmann,Carlos Vaquero,Bin Ma,Haizhou Li,Themos Stafylakis,Md. Jahangir Alam,Albert Swart,Javier Pérez +14 more
TL;DR: This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content.