PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition

no code implementations • 13 Dec 2023 • Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang

Most of the current speech data augmentation methods operate on either the raw waveform or the amplitude spectrum of speech.

Automatic Speech Recognition Data Augmentation +2

A Novel Self-training Approach for Low-resource Speech Recognition

no code implementations • 10 Aug 2023 • Satwinder Singh, Feng Hou, Ruili Wang

In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Improved Meta Learning for Low Resource Speech Recognition

no code implementations • 11 May 2022 • 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.

Meta-Learning speech-recognition +1

DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals

no code implementations • 11 Feb 2021 • 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.

Information Retrieval Music Information Retrieval +1

Predicting Software Defects through SVM: An Empirical Approach

no code implementations • 8 Mar 2018 • Junaid Ali Reshi, Satwinder Singh

Software defect prediction is an important aspect of preventive maintenance of a software.

Software Engineering