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Speech Sound Disorder --- Speech Sound Disorder --- Child --- Speech Perception --- Phonetics --- Speech Therapy --- diagnosis --- therapy --- physiology

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Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. You will: Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Build face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Make chatbots using deep learning.

Python (Computer program language) --- Speech processing systems --- Automatic speech recognition. --- Computer programs. --- Computer science. --- Computers. --- Computer Science. --- Computing Methodologies. --- Python. --- Big Data. --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Scripting languages (Computer science) --- Artificial intelligence. --- Python (Computer program language). --- Big data. --- Artificial Intelligence. --- Data sets, Large --- Large data sets --- Data sets --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers

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This book provides an overview of a recent and flexible approach to speech synthesis design to develop the first statistical parametric speech synthesizer for Ibibio, a West African tonal language. The design precludes the inflexibility encountered when modeling tonal features of the language and can be used for other tonal African languages.  Mobile use and technological innovations in developing African nations have exploded. With mobile technology, many of the barriers caused by infrastructure issues have vanished. In order to address issues that are unique to African tonal languages, the book uses Ibibio as a model.  The text reviews the language's speech characteristics, required for building the front end components of the design and propose a finite state transducer (FST), useful for modelling the language’s tonetactics. The statistical parametric approach discussed in the text, implements the Hidden Markov Model (HMM) technique, with the goal of creating a generic structure that learns the model from the text itself, and uses the data-driven approach to input specification. Provides a practical approach to tonal language synthesis that will broaden innovations in communications engineering Discusses a solution for tonal language system model design problems that are unique to growing markets in developing nations Addresses a growing technological need of developing countries language preservation projects.

Automatic speech recognition. --- Natural language processing (Computer science) --- NLP (Computer science) --- Mechanical speech recognizer --- Speech recognition, Automatic --- Engineering. --- Computational linguistics. --- Signal, Image and Speech Processing. --- Language Translation and Linguistics. --- Computational Linguistics. --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Data processing --- Signal processing. --- Image processing. --- Speech processing systems. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing