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Development of speech recognition system for remote vocal music teaching based on Markov model
With the popularization of smart homes, car audio systems and various speech recognition software, speech recognition systems have gradually entered...
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Enhancing Visual Speech Recognition for Deaf Individuals: A Hybrid LSTM and CNN 3D Model for Improved Accuracy
The ability of a person to communicate with other people and engage with the outside environment makes it crucial to a person’s existence. It can be...
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Noise robust automatic speech recognition: review and analysis
Automatic Speech Recognition (ASR) system is an emerging technology used in various fields such as robotics, traffic controls, and healthcare, etc....
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Emotion Recognition from Speech Using Multiple Features and Clusters
Speech Emotion Recognition (SER) using speech signals to detect our emotions is gaining popularity in the field of Human–Computer Interactions. The...
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Cepstral and acoustic ternary pattern based hybrid feature extraction approach for end-to-end bangla speech recognition
In the last three decades, a lot of work has been done for building Automatic Speech Recognition (ASR) systems for well-established languages such as...
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A 3D Tensor Representation of Speech and 3D Convolutional Neural Network for Emotion Recognition
Speech emotion recognition (SER) is one of the most important approaches for emotional human–computer interaction. Hence, in recent years, SER has...
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LimitAccess: on-device TinyML based robust speech recognition and age classification
Automakers from Honda to Lamborghini are incorporating voice interaction technology into their vehicles to improve the user experience and offer...
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Speech emotion recognition with transfer learning and multi-condition training for noisy environments
This paper explores the use of transfer learning techniques to develop robust speech emotion recognition (SER) models capable of handling noise in...
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Pathological voice classification system based on CNN-BiLSTM network using speech enhancement and multi-stream approach
The paper develo** a resilient speech classification system for individuals with voice disorders poses a formidable challenge due to the...
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Speech Emotion Recognition Systems: A Comprehensive Review on Different Methodologies
As humans, speech is the common as well as a natural way of expressing ourselves. Speech Emotion Recognition (SER) systems can be defined as an...
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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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Design of AI speech recognition platform based on BP network for English blended teaching mode
Artificial intelligence speech recognition technology has a broad application prospect in the field of education. In order to improve the efficiency...
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Small vocabulary isolated-word automatic speech recognition for single-word commands in Arabic spoken
Research into automated speech recognition (ASR) for the Arabic language has been steadily increasing due to its potential for great growth. In this...
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Speech emotion recognition based on Graph-LSTM neural network
Currently, Graph Neural Networks have been extended to the field of speech signal processing. It is the more compact and flexible way to represent...
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Speech Enhancement and Recognition Using Deep Learning Algorithms: A Review
In this paper, different methods for speech recognition and speech enhancement are reviewed. Usually, speech enhancement act as a frontend system to...
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Speech Emotion Recognition Using Deep Learning Algorithm on RAVDESS Dataset
The processing of speech signals is an active topic of research, the most important medium for the communication of information between human beings,...
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End-to-End Speech Recognition For Arabic Dialects
Automatic speech recognition or speech-to-text is a human–machine interaction task, and although it is challenging, it is attracting several...
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Emotion Recognition Using Text and Speech Through Machine Learning
Speech recognition is an important problem that is reflected in the process of applications which work in the field of education and communication...
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Exploring Generation of Pronunciation Lexicon for Low-Resource Language Automatic Speech Recognition Based on Generic Phone Recognizer
The lexicon is an essential component in the hybrid automatic speech recognition (ASR) system. However, a high-quality lexicon requires significant...
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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...
