24 citations · 28 across the 5 of their papers we have counts for
5 papers
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition
Chengxi Lei, Satwinder Singh, Feng Hou +2
Most of the current speech data augmentation methods operate on either the raw waveform or the amplitude spectrum of speech. In this paper, we propose a novel speech data augmentat…
A Novel Self-training Approach for Low-resource Speech Recognition
Satwinder Singh, Feng Hou, Ruili Wang
In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings. While self-training approaches have been extensively developed…
Improved Meta Learning for Low Resource Speech Recognition
Satwinder Singh, Ruili Wang, Feng Hou
We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet…
Towards the Objective Speech Assessment of Smoking Status based on Voice Features: A Review of the Literature
Zhizhong Ma, Chris Bullen, Joanna Ting Wai Chu +3
In smoking cessation clinical research and practice, objective validation of self-reported smoking status is crucial for ensuring the reliability of the primary outcome, that is, s…
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals
Satwinder Singh, Ruili Wang, Yuanhang Qiu
We propose a novel pitch estimation technique called DeepF0, which leverages the available annotated data to directly learns from the raw audio in a data-driven manner. F0 estimati…