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Modern Standard Arabic speech disorders corpus for digital speech processing applications
Digital speech processing applications including automatic speech recognition (ASR), speaker recognition, speech translation, and others, essentially...
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A Review on Speech Disorders and Processing of Disordered Speech
Speech disorder refers to the situation that affects the ability of a person to produce sounds that generates words. People of any age can be...
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Processing of Chinese language and text information system under the background of speech recognition
With the popularization of computers, artificial intelligence technology has become more and more mature, among which speech recognition technology...
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Twi Speech Processing: Techniques and Applications
Twi, also known as Akan, is a language spoken in Ghana, specifically by the Akan people. It is one of the principal languages of the Akan group,... -
Robust speech recognition in sports competition review based on natural language processing
Mass communication media is develo** at a fast speed, and they have obtained richer methods through different ways of combining, which has...
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Survey of Deep Learning Paradigms for Speech Processing
Over the past decades, a particular focus is given to research on machine learning techniques for speech processing applications. However, in the...
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Database processing in Chinese classics translation system based on information search and IOT speech recognition
Today, some chips are directly implanted or connected to some objects, and then some real-time information can be obtained by wireless network. With...
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Deep neural networks for automatic speech processing: a survey from large corpora to limited data
Most state-of-the-art speech systems use deep neural networks (DNNs). These systems require a large amount of data to be learned. Hence, training...
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Design and Evaluation of Speech Processing Systems for Meetei/Meitei Mayek
The paper focuses on Manipuri, an under-resourced language, and is written in a way that will help eager researchers build a robust speech processing... -
Parallel processing of distributed beamforming and multichannel linear prediction for speech denoising and deverberation in wireless acoustic sensor networks
More and more smart home devices with microphones come into our life in these years; it is highly desirable to connect these microphones as wireless...
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A neural speech decoding framework leveraging deep learning and speech synthesis
Decoding human speech from neural signals is essential for brain–computer interface (BCI) technologies that aim to restore speech in populations with...
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Computational intelligence in processing of speech acoustics: a survey
Speech recognition of a language is a key area in the field of pattern recognition. This paper presents a comprehensive survey on the speech...
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Natural Language Processing Approach to Real-Time Multilingual Speech Conversion
In an age marked by global interconnectedness, overcoming language barriers becomes paramount for nurturing comprehension and collaboration. Given... -
Regional Language Speech Recognition from Bone Conducted Speech Signals Through CCWT Algorithm
Speech enhancement, or SE, is a method of converting an input speech signal into a target signal with improved quality of voice and readability. To...
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Deep Speech Denoising with Minimal Dependence on Clean Speech Data
Most of the existing deep learning-based speech denoising methods rely heavily on clean speech data. According to the traditional view, a large...
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Noise robust speech encoding system in challenging acoustic conditions
Wireless communication systems are facing challenges in maintaining high-quality speech transmission due to the growing amount of data being...
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Unsupervised phoneme segmentation of continuous Arabic speech
The development of a speech recognition system for the Arabic language presents a significant challenge, mainly due to the limited availability of...
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An approach for speech enhancement with dysarthric speech recognition using optimization based machine learning frameworks
Dysarthric speech is the noisy or source distortion speech. Reasonable speech enhancement is required to obtain higher communication quality for...
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A survey of technologies for automatic Dysarthric speech recognition
Speakers with dysarthria often struggle to accurately pronounce words and effectively communicate with others. Automatic speech recognition (ASR) is...
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Signal Processing Methods and Features for Enhancing a Speech Signal
Speech is a signal through which communication is done. In our daily lives, everything we need to express either through our actions or speech....