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08/31/2023
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals
In this paper, we propose a new method for the accurate estimation and t...
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08/17/2023
Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods
In this study, formant tracking is investigated by refining the formants...
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08/16/2023
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
Text-to-Text Transfer Transformer (T5) has recently been considered for ...
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10/01/2022
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition
The smaller memory bandwidth in smart devices prompts development of sma...
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01/08/2022
Two-Pass End-to-End ASR Model Compression
Speech recognition on smart devices is challenging owing to the small me...
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01/05/2022
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks
Formant tracking is investigated in this study by using trackers based o...
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11/19/2021
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
In this paper, we propose a three-stage training methodology to improve ...
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11/19/2021
A comparison of streaming models and data augmentation methods for robust speech recognition
In this paper, we present a comparative study on the robustness of two d...
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05/04/2021
Streaming end-to-end speech recognition with jointly trained neural feature enhancement
In this paper, we present a streaming end-to-end speech recognition mode...
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12/14/2020
A review of on-device fully neural end-to-end automatic speech recognition algorithms
In this paper, we review various end-to-end automatic speech recognition...
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01/02/2020
Attention based on-device streaming speech recognition with large speech corpus
In this paper, we present a new on-device automatic speech recognition (...
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12/28/2019
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models
In this paper, we propose a refined multi-stage multi-task training stra...
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12/22/2019
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
In this paper, we describe the Maximum Uniformity of Distribution (MUD) ...
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12/22/2019
