Search
Search Results
-
Intelligent speech recognition algorithm in multimedia visual interaction via BiLSTM and attention mechanism
With the rapid development of information technology in modern society, the application of multimedia integration platform is more and more...
-
Cross channel interaction based ECA-Net using gated recurrent convolutional network for speech enhancement
Recently channel attention mechanism playing a major role in improving the performance of deep convolution neural networks. Even though there is an...
-
Automatic recognition of disordered children’s speech signal in dyadic interaction using deep learning models
Children suffering with spontaneous speech impairment or inappropriate communication abilities like disordered speech or delayed speech face...
-
Augmented Reality Using Gesture and Speech Accelerates User Interaction
A user interaction technique is needed to manipulate the Augmented Reality (AR) content to make AR deliver realism. However, these problems persist,...
-
Speech-to-SQL: toward speech-driven SQL query generation from natural language question
Speech-based inputs have been gaining significant momentum with the popularity of smartphones and tablets in our daily lives, since voice is the most...
-
Improving speech command recognition through decision-level fusion of deep filtered speech cues
Living beings communicate through speech, which can be analysed to identify words and sentences by recognizing the flow of spoken utterances....
-
Multimodal Human Computer Interaction Using Hand Gestures and Speech
The paper presents multimodal human-computer interaction using speech and gesture recognition to develop a system for mouse movement and operation....
-
Multimodal user interaction with in-car equipment in real conditions based on touch and speech modes in the Persian language
Nowadays, communication with in-car equipment is performed via a large number of buttons or a touch screen. This increases the need for driver’s...
-
Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis
Speech is a powerful, natural mode of communication that facilitates effective interactions in human societies. However, when fluency or flow of...
-
A lightweight 2D CNN based approach for speaker-independent emotion recognition from speech with new Indian Emotional Speech Corpora
Speech Emotion Recognition (SER) is the process of recognizing emotions by extracting few features of speech signals. It is becoming very popular in...
-
A novel conversational hierarchical attention network for speech emotion recognition in dyadic conversation
Speech is one of the most fundamental mediums for human-to-human interaction, thereby playing a pivotal role in sha** the landscape of...
-
Speech emotion recognition using feature fusion: a hybrid approach to deep learning
Speech emotion recognition holds significant importance as it enables machines to understand and respond to human emotions, enhancing human-computer...
-
Automatic detection of hate speech in code-mixed Indian languages in twitter social media interaction using DConvBLSTM-MuRIL ensemble method
Social media platforms have gained immense popularity in recent years and are used for various activities such as marketing, news-sharing, and...
-
A comprehensive survey on automatic speech recognition using neural networks
The continuous development in Automatic Speech Recognition has grown and demonstrated its enormous potential in Human Interaction Communication...
-
Meta-reinforcement learning based few-shot speech reconstruction for non-intrusive speech quality assessment
Speech quality assessment (SQA) is meaningful for modern communication systems and Quality of Service (QoS). At present, the non-intrusive SQA...
-
Speech Emotion Recognition Using Magnitude and Phase Features
For the majority of people, speaking is a natural method to interact with others, and speech is a tool for understanding others. Speech Utterances...
-
Speaking, fast or slow: how conversational agents’ rate of speech influences user experience
With the development of artificial intelligence technology, users are increasingly inclined to use conversational agents (CAs) as personal...
-
Detecting Speech Disorders Using A Machine-Learning Guided Method in Spontaneous Tunisian Dialect Speech
This work investigates the disfluencies processing task within the natural spoken language comprehension field. We present a transcription-based...
-
Harnessing the Role of Speech Interaction in Smart Environments Towards Improved Adaptability and Health Monitoring
The way we communicate with speech goes far beyond the words we use and nonverbal cues play a pivotal role in, e.g., conveying emphasis or expressing...
-
Chinese dialect speech recognition: a comprehensive survey
As a multi-ethnic country with a large population, China is endowed with diverse dialects, which brings considerable challenges to speech recognition...
