30 citations · 92 across the 17 of their papers we have counts for
5 papers · 1 filter
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
Madina Abdrakhmanova, Askat Kuzdeuov, Sheikh Jarju +3
We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, vi…
Enriching Under-Represented Named-Entities To Improve Speech Recognition Performance
Tingzhi Mao, Yerbolat Khassanov, Van Tung Pham +4
Automatic speech recognition (ASR) for under-represented named-entity (UR-NE) is challenging due to such named-entities (NE) have insufficient instances and poor contextual coverag…
A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov +3
We present an open-source speech corpus for the Kazakh language. The Kazakh speech corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 utterances sp…
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning
Zhiping Zeng, Van Tung Pham, Haihua Xu +4
In this work, we study leveraging extra text data to improve low-resource end-to-end ASR under cross-lingual transfer learning setting. To this end, we extend our prior work [1], a…
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems
Tingzhi Mao, Yerbolat Khassanov, Van Tung Pham +3
In this paper, we present a series of complementary approaches to improve the recognition of underrepresented named entities (NE) in hybrid ASR systems without compromising overall…