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05/25/2023
Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration
This work aims to build a multilingual text-to-speech (TTS) synthesis sy...
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10/28/2022
Improving short-video speech recognition using random utterance concatenation
One of the limitations in end-to-end automatic speech recognition framew...
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01/15/2022
KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics
We present an expanded version of our previously released Kazakh text-to...
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11/26/2021
KazNERD: Kazakh Named Entity Recognition Dataset
We present the development of a dataset for Kazakh named entity recognit...
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10/23/2021
A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data
In this paper, we study an approach to multimodal person verification us...
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08/03/2021
A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
We study training a single end-to-end (E2E) automatic speech recognition...
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07/30/2021
USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments
We present a freely available speech corpus for the Uzbek language and r...
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04/17/2021
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
This paper introduces a high-quality open-source speech synthesis datase...
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12/05/2020
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
We present SpeakingFaces as a publicly-available large-scale multimodal ...
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10/23/2020
Enriching Under-Represented Named-Entities To Improve Speech Recognition Performance
Automatic speech recognition (ASR) for under-represented named-entity (U...
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09/22/2020
A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
We present an open-source speech corpus for the Kazakh language. The Kaz...
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05/21/2020
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning
In this work, we study leveraging extra text data to improve low-resourc...
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05/18/2020
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems
In this paper, we present a series of complementary approaches to improv...
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11/25/2019
Independent language modeling architecture for end-to-end ASR
The attention-based end-to-end (E2E) automatic speech recognition (ASR) ...
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04/08/2019
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
The lack of code-switch training data is one of the major concerns in th...
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04/08/2019
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation
The neural language models (NLM) achieve strong generalization capabilit...
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11/01/2018
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
Code-switching (CS) refers to a linguistic phenomenon where a speaker us...
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06/27/2018
