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Future Speech Interfaces with Sensors and Machine Intelligence

Speech is the most spontaneous and natural means of communication, as well as the preferred modality for interacting with mobile or fixed electronic devices, but speech in-terfaces have drawbacks, such as a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions;...

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Bibliographic Details
Main Author: Denby, Bruce
Other Authors: Gábor Csapó, Tamás, Wand, Michael
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Spatial Attention Module
Multi-modal Interaction
End-to-end Recognition
Generative Models
Speech-to-lip
Speech Sensors
Objective Measures
Lip Reading
Landmarks
Deep Learning
Ultrasound Tongue Imaging
Continuous-wave Radar
Neural Machine Translation (nmt)
Speaker Adaption
Arabic Dialects
History Of Engineering & Technology / Bicssc
3d Densely Connected Cnn
Deep Neural Networks
Edutainment
Voice Conversion
Technology: General Issues / Bicssc
Virtual Aquarium
Zero-shot Adaptation
Multi-head Attention
Decision Fusion Net
Shared Vocabulary
Local Self-attention
Attention Mechanism
European Portuguese
Silent Speech
Visual Speech Recognition
Text-to-speech
Audiovisual Speech Recognition
Lip-reading
Pose Estimation
Reliability Measures
Text-to-lip
Keypoints
Lipreading
Modern Standard Arabic
Application Programming Interface
Speech Recognition
Self-attention
Speech Kinematics
Multimodal Speech
3d Multi-layer Feature Fusion Cnn
Audio-visual Speech Recognition
Subword Units
Artificial Intelligence
Transformer
Speech Processing
Ultrasound Imaging
Multi-view Vsr
Connectionist Temporal Classification
Speech Synthesis
Articulation-to-speech Synthesis
Hybrid Models
Convolutional Neural Network
Silent Speech Interface
Silent Speech Interfaces
Multimodal Interaction
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Speech is the most spontaneous and natural means of communication, as well as the preferred modality for interacting with mobile or fixed electronic devices, but speech in-terfaces have drawbacks, such as a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions; and the difficulty of creating complex man-machine interfaces. The Special Issue "Future Speech Interfaces with Sensors and Machine Intelligence" assembles eleven contributions that cover multimodal and silent speech interfaces; lip reading applications; novel sensors for speech interfaces; and enhanced speech inclusivity tools for future speech interfaces. The articles make important improvements beyond the state of the art, advancing the state of the art to new frontiers in some cases. Short summaries of all articles, grouped by topic, are presented, followed by a global commentary and evaluation.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (252 p.)
ISBN:9783036569390
books978-3-0365-6939-0
9783036569383

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