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Dysarthric Speech Recognition Using Variational Mode Decomposition and Convolutional Neural Networks
Dysarthric speech recognition requires a learning technique that is able to capture dysarthric speech specific features. Dysarthric speech is...
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Research on project-based learning of foreign trade english in speech recognition virtual reality environment
Foreign trade English learning ability refers to students’ awareness and ability to actively use and adapt to foreign trade English learning...
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Application of deep learning-based speech system in online music learning system
This paper mainly discusses the application of speech system based on deep learning in online music learning system. Firstly, this paper introduces...
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Recognition of emotions in speech using deep CNN and RESNET
The acts we engage in that transmit our emotional state or attitude to other people are referred to as emotional expressions. Communication, both...
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Robust Feature Extraction and Recognition Model for Automatic Speech Recognition System on News Report Dataset
Information processing has become ubiquitous. The process of deriving speech from transcription is known as automatic speech recognition systems. In...
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Speech Emotion Recognition Using CNN-LSTM and Vision Transformer
The importance of speech emotion recognition has increased as a result of the acceptance of intelligent conversational assistant services. The...
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Robust Perceptual Wavelet Packet Features for Recognition of Continuous Kannada Speech
An ASR system is built for the Continuous Kannada Speech Recognition. The acoustic and language models are created with the help of the Kaldi...
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Develo** sequentially trained robust Punjabi speech recognition system under matched and mismatched conditions
Development of a native language robust ASR framework is very challenging as well as an active area of research. Although an urge for investigation...
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Intelligent Speech Continuous Recognition System Based on NOSE Algorithm
With the development of speech recognition technology, speech has become more and more popular as an important means of human interaction. People...
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Automatic hate speech detection in audio using machine learning algorithms
Even though every individual is entitled to freedom of speech, some limitations exist when this freedom is used to target and harm another individual...
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An End-to-End Speech Separation Method Based on Features of Two Domains
PurposeThe current mainstream methods for single-channel speech separation generally use a feature extraction process like the short-time Fourier...
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Emotion Detection Using Pattern Recognition from Speech
Detection of emotion from speech has immense importance in our present life. Emotion detection plays an important role in music therapy of human...
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English-Filipino Speech Topic Tagger Using Automatic Speech Recognition Modeling and Topic Modeling
We present an English-Filipino Speech Topic Tagger that transcribes English-Filipino speech audio into text and produces relevant keywords from such...
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Speech Emotion Recognition Using Support Vector Machine and Linear Discriminant Analysis
The most common form of communication is speech. Speech Emotion Recognition is a demanding study area that aims to identify human emotions from...
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Speech Enhancement Algorithm Combining Cochlear Features and Deep Neural Network with Skip Connections
To solve the problem of the poor enhancement effect of traditional deep learning-based speech enhancement algorithms in low signal-to-noise ratio...
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Steering Data Arbitration on Facial-Speech Features for Fusion-Based Emotion Recognition Framework
Emotion recognition is one of the computationally complex tasks with a spectrum of real-world applications. In this view, recent years’ range of...
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Artificial Intelligence-Based Hearing Loss Detection Using Acoustic Threshold and Speech Perception Level
Hearing loss detection using automated audiometers and artificial intelligence methods has gained increasing attention in recent years. The proposed...
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EC-BERT: A BERT Language Model with Error Correction for Mandarin Chinese Speech Recognition
The attention-based encoder-decoder end-to-end model has achieved promising performance in automatic speech recognition (ASR). However, in practical...
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A New Algorithm for Speech Feature Extraction Using Polynomial Chirplet Transform
Time–frequency analysis (TFA) is a powerful tool for signal feature representation. In the time–frequency plane, the primary data properties are...
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Effect of Noise in Khasi Speech Recognition System
In this paper, we investigated the effect of noise in Khasi automatic speech recognition system (ASR). Acoustic models (AMs) were built with clean...