Track and Noise Separation Based on the Universal Codebook and Enhanced Speech Recognition Using Hybrid Deep Learning Method

SVA Kumer, LB Gogu, E Mohan, S Maloji… - IEEE …, 2023 - ieeexplore.ieee.org
The concept of Deep learning is a part of machine learning which is very useful nowadays to
achieve accurate voice and speech recognition based on the training data by creating …

Maximum likelihood based estimation with quasi oppositional chemical reaction optimization algorithm for speech signal enhancement

I Kaur, VK Nassa, T Kavitha, P Mohan… - International Journal of …, 2022 - Springer
In recent times, speech enhancement (SE) becomes a significant process in the field of
speech signal processing. Since the speech signal in real time gets affected by background …

RS-CAE-based AR-Wiener filtering and harmonic recovery for speech enhancement

Y Yang, C Bao - IEEE/ACM Transactions on Audio, Speech …, 2019 - ieeexplore.ieee.org
By taking into account temporal correlation of speech feature. In this paper, a novel structure
of convolutional Auto Encoder (CAE) was proposed. In this structure, the historical output of …

Speech enhancement system for automatic speech recognition in automotive environment

GG Nair, CS Kumar - 2021 12th International Conference on …, 2021 - ieeexplore.ieee.org
The Automatic Speech Recognition (ASR) system is becoming an unavoidable feature in the
automotive, nowadays. The main goal of ASR is to get the machine to understand the …

Robust representations for keyword spotting systems

A Smyth, N Lyons, T Wada, R Zopf… - 2022 26th …, 2022 - ieeexplore.ieee.org
Keyword spotting poses several challenges due to acoustic disturbances such as noise,
reverberation, and speaker-to-speaker variations. Typical keyword spotting features such as …

[PDF][PDF] A literature survey on single channel speech enhancement techniques

DC Naik, AS Murthy, R Nuthakki - Int. J. Sci. Technol. Res, 2020 - academia.edu
Speech enhancement deals with the handling of noisy speech signals in order to improve
people's perception or better system understanding when noise destroys speech …

[PDF][PDF] 基于常Q 变换与深度神经网络的VDR 语音端点检测

杜晗, 张维维, 张巧灵, 闫凌宇 - 大连海事大学学报, 2022 - xb.dlmu.edu.cn
基于采集的真实船舶航行数据记录仪音频数据, 提出一种基于常Q 变换(Constant-Q Transform,
CQT) 幅度谱与深度神经网络(DNN) 的语音端点检测方法. 为获得适合不同频段的变频率分辨率 …

基于改进循环生成对抗神经网络的语音增强.

徐珑婷, 田娩鑫, 魏郅林 - Journal of Donghua University …, 2022 - search.ebscohost.com
为克服基于生成对抗网络的语音增强技术存在成对语音样本缺乏的问题, 提出改进的循环一致性
生成对抗网络(CycleGAN) 的不成对数据生成模型. 通过引入2-1-2D CNN 生成器和PatchGAN …

Endangered Tujia language speech enhancement research based on improved DCGAN

C Yu, M Kang, Y Chen, M Li, T Dai - … 2019, Kunming, China, October 18–20 …, 2019 - Springer
As an endangered language, Tujia language only rely on oral communication. There must
exist noises in the process of collecting Tujia language corpus. This paper studies an end-to …

Mixed Language Separation Using Deep Neural Network

S Chunarkar, SR Chiluveru… - 2021 5th International …, 2021 - ieeexplore.ieee.org
With multiple languages spoken in the world by different groups of people, we may
encounter mixed language speech to hear, especially while vlogging in a different country or …