Audio Spoof Detection (ASD) systems play a pivotal role in evaluating whether the input speech signal has been manipulated by an imposter attempting unauthorized access to an authentic user's account or if it genuinely originates from the declared user. Primarily used for person authentication, these systems strive to verify the speaker's claimed identity. Despite substantial technological advancements, recent testing has revealed persistent vulnerabilities to spoofing, commonly referred to as a spoof attack. Various techniques such as mimicry, replay, Text-to Speech (TTS), and Voice Conversion (VC) are frequently employed in ASV systems to execute logical access (LA) or physical access (PA) spoofing attacks. To secure an ASD system from these attacks many research have given many good security models as countermeasures. Also, numerous review papers by different researchers have discussed various countermeasures developed to secure ASD systems. However, there is a notable absence of an authored book that comprehensively addresses this critical research topic, encompassing frontend, backend, dataset and types of attacks considerations. Therefore, there is an urgent need for a book that serves as a valuable resource for upcoming researchers, offering insights into securing ASD systems and bridging the existing gap in the literature. Hence, this book is an effort by the authors in such direction.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Mohit Dua: He received Ph.D. in the area of Automatic Speech Recognition from National Institute of Technology, Kurukshetra, India in 2018. He is presently working as Assistant Professor in Department of Computer Engineering at NIT Kurukshetra, India. He has more than 17 years of Teaching and Research experience. He is a member of Institute of Electrical and Electronics Engineers (IEEE), and life member of Computer Society of India (CSI) and Indian Society for Technical Education (ISTE). His research interests include Speech processing, Chaos based Cryptography, Information Security, Theory of Formal languages, Statistical modelling and Natural Language Processing. He has published approximately 100+ research papers including abroad paper presentations including USA, Canada, Australia, Singapore, Mauritius and Dubai.
Nidhi Chakravarty: She received Ph.D. in the area of Audio Spoof Detection from National Institute of Technology, Kurukshetra, India in 2024. She is presently working as Assistant Professor in Department of Computer Science and Engineering at Thapar Institute of Engineering and Technology, Patiala, India. She has published approximately 20+ research papers in various reputed journals and international conferences.
Shelza Dua: She received Ph.D. in the area of Image Encryption from Banasthali Vidyapith, Banasthali Rajasthan, India in 2019. She is presently working as Research Associate in Department of Electrical Engineering at NIT Kurukshetra, India. She has more than 20+ years of Teaching and Research experience. She is a life member of IETE Her research interests include Chaos based Cryptography and Image Encryption. She has published approximately 30+ research papers in various reputed journals and international conferences.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 51932141-n
Anzahl: 10 verfügbar
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers GB-9781032912646
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 51932141
Anzahl: 10 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers GB-9781032912646
Anzahl: 2 verfügbar
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Bestandsnummer des Verkäufers 6666-GRD-9781032912646
Anzahl: 2 verfügbar
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Paperback. Zustand: New. Audio Spoof Detection (ASD) systems play a pivotal role in evaluating whether the input speech signal has been manipulated by an imposter attempting unauthorized access to an authentic user's account or if it genuinely originates from the declared user. Primarily used for person authentication, these systems strive to verify the speaker's claimed identity. Despite substantial technological advancements, recent testing has revealed persistent vulnerabilities to spoofing, commonly referred to as a spoof attack. Various techniques such as mimicry, replay, text to speech (TTS), and voice conversion (VC) are frequently used in ASV systems to execute logical access (LA) or physical access (PA) spoofing attacks. To protect an ASD system from these attacks, many researchers have proposed effective security models as countermeasures. In addition, numerous review papers by different researchers have discussed various countermeasures developed to secure ASD systems. However, there is a notable absence of an authored book that comprehensively addresses this critical research topic, encompassing frontend, backend, dataset, and types of attacks considerations. Therefore, there is an urgent need for a book that can serve as a valuable resource for upcoming researchers, offering insights into securing ASD systems and bridging the existing gap in the literature. Hence, this book represents an effort by the authors in that direction. Bestandsnummer des Verkäufers LU-9781032912646
Anzahl: 1 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 407901648
Anzahl: 3 verfügbar
Anbieter: Rarewaves USA, HEBRON, KY, USA
Paperback. Zustand: New. Audio Spoof Detection (ASD) systems play a pivotal role in evaluating whether the input speech signal has been manipulated by an imposter attempting unauthorized access to an authentic user's account or if it genuinely originates from the declared user. Primarily used for person authentication, these systems strive to verify the speaker's claimed identity. Despite substantial technological advancements, recent testing has revealed persistent vulnerabilities to spoofing, commonly referred to as a spoof attack. Various techniques such as mimicry, replay, text to speech (TTS), and voice conversion (VC) are frequently used in ASV systems to execute logical access (LA) or physical access (PA) spoofing attacks. To protect an ASD system from these attacks, many researchers have proposed effective security models as countermeasures. In addition, numerous review papers by different researchers have discussed various countermeasures developed to secure ASD systems. However, there is a notable absence of an authored book that comprehensively addresses this critical research topic, encompassing frontend, backend, dataset, and types of attacks considerations. Therefore, there is an urgent need for a book that can serve as a valuable resource for upcoming researchers, offering insights into securing ASD systems and bridging the existing gap in the literature. Hence, this book represents an effort by the authors in that direction. Bestandsnummer des Verkäufers LU-9781032912646
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 51932141-n
Anzahl: 10 verfügbar
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. Bestandsnummer des Verkäufers V9781032912646
Anzahl: 2 verfügbar