Physiological Sensors for Speech Recognition

Physiological Sensors for Speech Recognition PDF Author: Mike Scanlon
Publisher:
ISBN:
Category :
Languages : en
Pages : 8

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Book Description
Systems designers are expressing greater interest in speech-based user interfaces for a variety of civilian and military applications. Such interfaces provide hands free operation and a more natural way for humans to interact with systems. One difficulty with speech-based user interfaces is poor operation in noisy environments such as military operations. The Physiological Sensor, developed at ARL, is an example of an alternative sensor for automatic speech recognition This sensor detects speech by measuring acoustic signals through the speaker's skin. While the signal produced is not typical of that from an airborne acoustic microphone, the possibility exists for using this sensor as a microphone. We investigate several possible methods for using the Physiological Sensor as a microphone for automatic speech recognition.

Physiological Sensors for Speech Recognition

Physiological Sensors for Speech Recognition PDF Author: Mike Scanlon
Publisher:
ISBN:
Category :
Languages : en
Pages : 8

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Book Description
Systems designers are expressing greater interest in speech-based user interfaces for a variety of civilian and military applications. Such interfaces provide hands free operation and a more natural way for humans to interact with systems. One difficulty with speech-based user interfaces is poor operation in noisy environments such as military operations. The Physiological Sensor, developed at ARL, is an example of an alternative sensor for automatic speech recognition This sensor detects speech by measuring acoustic signals through the speaker's skin. While the signal produced is not typical of that from an airborne acoustic microphone, the possibility exists for using this sensor as a microphone. We investigate several possible methods for using the Physiological Sensor as a microphone for automatic speech recognition.

Acoustic Sensor for Voice with Embedded Physiology

Acoustic Sensor for Voice with Embedded Physiology PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
The Army Research Laboratory (ARL) is developing sensor technology to monitor the soldier's voice and physiology by using enhanced acoustic sensors. The physiological sensor consists of liquid or gel contained within a small, conformable, rubber bladder or pad that also includes a hydrophone. This enables the collection of high signal-to-noise ratio cardiac, respiratory, voice, and other physiological data. The pad also minimizes interference from ambient noise because it couples poorly with airborne noise. It is low cost and comfortable to wear for extended periods. When the sensor pad is in contact with a patient's thorax, neck, or temple region, sounds can be immediately and continuously monitored. This can aid in the remote assessment, diagnosis, and treatment of cardiac and respiratory functions, as well as provide human stress and performance indicators such as heart and breath rates, voice stress, and gross motor indicators. The neck sensor picks up the wearer's voice well, with fidelity sufficient to be used as a hands-free voice activation mechanism using speech recognition software, or for voice communications. The pulse is also detectable from the carotid artery, and excellent breath sounds are present as well. This attachment area is often unobstructed by other equipment or clothing, and is easy to attach quickly to a subject.

Biomedical Signals and Sensors I

Biomedical Signals and Sensors I PDF Author: Eugenijus Kaniusas
Publisher: Springer Science & Business Media
ISBN: 3642248438
Category : Technology & Engineering
Languages : en
Pages : 313

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Book Description
This two-volume set focuses on the interface between physiologic mechanisms and diagnostic human engineering. Today numerous biomedical sensors are commonplace in clinical practice. The registered biosignals reflect mostly vital physiologic phenomena. In order to adequately apply biomedical sensors and reasonably interpret the corresponding biosignals, a proper understanding of the involved physiologic phenomena, their influence on the registered biosignals, and the technology behind the sensors is necessary. The first volume is devoted to the interface between physiologic mechanisms and arising biosignals, whereas the second volume is focussed on the interface between biosignals and biomedical sensors. The physiologic mechanisms behind the biosignals are described from the basic cellular level up to their advanced mutual coordination level during sleep. The arising biosignals are discussed within the scope of vital physiologic phenomena to foster their understanding and comprehensive analysis.

An Automatic Speech Recognition System Based on a Physiological Model

An Automatic Speech Recognition System Based on a Physiological Model PDF Author: Tony Ray Gilligan
Publisher:
ISBN:
Category :
Languages : en
Pages : 180

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Book Description


Translating Healthcare Through Intelligent Computational Methods

Translating Healthcare Through Intelligent Computational Methods PDF Author: C. Ram Kumar
Publisher: Springer Nature
ISBN: 3031277007
Category : Technology & Engineering
Languages : en
Pages : 437

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Book Description
This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field of communications engineering with a variety of perspectives.

The Physiological Basis of Glottal Electromagnetic Micropower Sensors (GEMS) and Their Use in Defining an Excitation Function for the Human Vocal Tract

The Physiological Basis of Glottal Electromagnetic Micropower Sensors (GEMS) and Their Use in Defining an Excitation Function for the Human Vocal Tract PDF Author: Gregory Clell Burnett
Publisher:
ISBN:
Category :
Languages : en
Pages : 574

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Book Description


Voice Technologies for Speech Reconstruction and Enhancement

Voice Technologies for Speech Reconstruction and Enhancement PDF Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501501267
Category : Technology & Engineering
Languages : en
Pages : 228

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Book Description
The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders – collectively known as “dysarthria.” The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help the speech system both assess dysarthric speech and to perform intelligibility improvement of the impaired speech; they display well-performing software solutions for developmental and acquired speech impairments, and for vocal injuries; and they examine non-acoustic signals and muted nonverbal sounds in relation to audible speech conversion.

Emotion recognition using brain-computer interfaces and advanced artificial intelligence

Emotion recognition using brain-computer interfaces and advanced artificial intelligence PDF Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2832505171
Category : Science
Languages : en
Pages : 413

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Book Description


Bimodal Emotion Recognition Using Speech and Physiological Changes

Bimodal Emotion Recognition Using Speech and Physiological Changes PDF Author: Jonghwa Kim
Publisher:
ISBN: 9783902613080
Category :
Languages : en
Pages :

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Book Description
In this paper, we treated all stages of emotion analysis, from data collection to classification using short-term observations, and evaluated several fusion methods as well as a hybrid decision scheme. We also compared the results from multimodal classification with the unimodal results. As in our earlier work (Kim et al. 2005) where we relied on longer observation phases and a different set of features, the best results were obtained by featurelevel fusion method in combination with feature selection stage. In this case, not only userdependent, but also user-independent emotion classification could be improved compared to the unimodal methods.

Wearable Sensors

Wearable Sensors PDF Author: Edward Sazonov
Publisher: Elsevier
ISBN: 0124186661
Category : Technology & Engineering
Languages : en
Pages : 649

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Book Description
Written by industry experts, this book aims to provide you with an understanding of how to design and work with wearable sensors. Together these insights provide the first single source of information on wearable sensors that would be a valuable addition to the library of any engineer interested in this field.Wearable Sensors covers a wide variety of topics associated with the development and application of various wearable sensors. It also provides an overview and coherent summary of many aspects of current wearable sensor technology.Both industry professionals and academic researchers will benefit from this comprehensive reference which contains the most up-to-date information on the advancement of lightweight hardware, energy harvesting, signal processing, and wireless communications and networks. Practical problems with smart fabrics, biomonitoring and health informatics are all addressed, plus end user centric design, ethical and safety issues. - Provides the first comprehensive resource of all currently used wearable devices in an accessible and structured manner - Helps engineers manufacture wearable devices with information on current technologies, with a focus on end user needs and recycling requirements - Combines the expertise of professionals and academics in one practical and applied source