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See below for a selection of the latest books from Speech recognition category. Presented with a red border are the Speech recognition books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Speech recognition books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.
This book presents a contrastive linguistics study of Arabic and English for the dual purposes of improved language teaching and speech processing of Arabic via spectral analysis and neural networks. Contrastive linguistics is a field of linguistics which aims to compare the linguistic systems of two or more languages in order to ease the tasks of teaching, learning, and translation. The main focus of the present study is to treat the Arabic minimal syllable automatically to facilitate automatic speech processing in Arabic. It represents important reading for language learners and for linguists with an interest in Arabic and computational approaches.
The book presents the history of time-domain representation and the extent of its development along with that of spectral domain representation in the cognitive and technology domains. It discusses all the cognitive experiments related to this development, along with details of technological developments related to both automatic speech recognition (ASR) and text to speech synthesis (TTS), and introduces a viable time-domain representation for both objective and subjective analysis, as an alternative to the well-known spectral representation. The book also includes a new cohort study on the use of lexical knowledge in ASR. India has numerous official dialects, and spoken-language technology development is a burgeoning area. In fact TTS and ASR taken together constitute the most important technology for empowering people. As such, the book describes time domain representation in such a way that it can be easily and seamlessly incorporated into ASR and TTS research and development. In short, it is a valuable guidebook for the development of ASR and TTS in all the Indian Standard Dialects using signal domain parameters.
This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018. The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.
Get up and running with the fundamentals of Amazon Alexa and build exciting IoT projects Key Features Gain hands-on experience of working with Amazon Echo and Alexa Build exciting IoT projects using Amazon Echo Learn about voice-enabled smart devices Book DescriptionAmazon Echo is a smart speaker developed by Amazon, which connects to Amazon's Alexa Voice Service and is entirely controlled by voice commands. Amazon Echo is currently being used for a variety of purposes such as home automation, asking generic queries, and even ordering a cab or pizza. Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programming concepts such as Intents, Slots, Lambdas and maintaining your skill's state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications. In the concluding chapters, you will explore the future of voice-enabled applications and their coverage with respect to the Internet of Things. By the end of the book, you will have learned to design Alexa Skills for specific purposes and interact with Amazon Echo to execute these skills. What you will learn Understand how Amazon Echo is already being used in various domains Discover how an Alexa Skill is architected Get a clear understanding of how some of the most popular Alexa Skills work Design Alexa Skills for specific purposes and interact with Amazon Echo to execute them Gain experience of programming for Amazon Echo Explore future applications of Amazon Echo and other voice-activated devices Who this book is forAlexa Skills Projects is for individuals who want to have a deep understanding of the underlying technology that drives Amazon Echo and Alexa, and how it can be integrated with the Internet of Things to develop hands-on projects.
This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.
This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions. The papers cover topics such as anaphora and conference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semanticweb; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling. They are organized in the following sections: language and information extraction; post-processing and applications of automatic transcriptions; speech paralinguistics and synthesis; speech recognition: modeling and resources.
This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.
Siri ist der Sprachassistent von iPhone, iPad und Mac. Mit Siri hat Apple die Art und Weise, wie wir mit elektronischen Geraten umgehen konnen, revolutioniert. Wo Sie sich fruher durch Menus tippen mussten, um eine simple Aufgabe wie etwa einen Anruf zu erledigen, genugt heute ein gesprochenes Kommando: Ruf meine Frau an"e;, Weck mich in 7 Stunden"e;, Erinnere mich Geschenk fur meinen Bruder kaufen"e;, Brauche ich morgen in Hamburg einen Regenschirm?"e;.Anfangs beschrnkte sich Siri auf einfache Aufgaben und Anweisungen, inzwischen hat Apple die Fhigkeiten von Siri deutlich erweitert - und baut sie weiterhin kontinuierlich aus. Es ist verblffend, was Siri alles kann und wobei Siri Ihnen hilfreich zur Seite steht.Wenn Sie bislang gezgert haben, Siri zu nutzen, finden Sie in diesem Buch unzhlige Beispiele fr den alltglichen Einsatz von Siri. Mit diesem Buch knnen Einsteiger und fortgeschrittene Anwender Siri Schritt fr Schritt kennenlernen.ernen.Aus dem Inhalt Grundlagen: Wie funktioniert Siri und wie nutzen Sie Siri optimal fr Ihre Zwecke? Siri zum Diktat! Lernen Sie die erstaunlich leistungsfhige Diktierfunktion kennen, sprechen Sie Ihre Texte, statt sie zu tippen. Siri wei was: Recherchieren Sie mit Siri im Internet, lassen Sie sich blitzschnell den aktuellen Wetterbericht geben, fhren Sie einfache Berechnungen aus und erfahren Sie die neuesten Sportergebnisse. Telefon & Co: Telefonieren Sie mit Siri, schicken Sie rasch eine Nachricht oder Mail, posten Sie flink bei Twitter oder Facebook. Office: Organisieren Sie mit Siri Ihre Termine, Erinnerungen, Kontakte und Notizen. Karten: Lassen Sie sich von Siri sicher zu Ihrem Ziel navigieren und beliebige Adressen oder Sehenswrdigkeiten zeigen. Medien: Lassen Sie Siri Ihre Lieblingslieder spielen, fragen Sie Siri, was da gerade im Radio luft, durchsuchen Sie Ihre Fotos und finden Sie Filme und auch Kinos in Ihrer Nhe. Mac, Apple Watch & Apple TV: Auch auf dem Mac, der Apple Watch und dem Apple TV steht Ihnen Siri zur Verfgung und macht ihren Einsatz noch einfacher und effizienter. Spa mit Siri: Siri ist immer fr einen Spa zu haben, probieren Sie es einfach aus.
This book constitutes the refereed proceedings of the 4th International Conference on Statistical Language and Speech Processing, SLSP 2016, held in Pilsen, Czech Republic, in October 2016. The 11 full papers presented together with two invited talks were carefully reviewed and selected from 38 submissions. The papers cover topics such as anaphora and coreference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semantic web; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling.