Posted on

Speech Communications: Human and Machine by Douglas O'Shaughnessy

By Douglas O'Shaughnessy

"Today the instant communications is seriously established upon complicated speech coding options, whereas the combination of private pcs and voice expertise is poised for development. during this revised and up-to-date moment variation, a well timed evaluation of the technology of speech processing is helping you retain speed with those swiftly constructing advances.Students of electric engineering, besides desktop scientists, structures engineers, linguists, audiologists, and psychologists, will locate during this one concise quantity an interdisciplinary advent to speech communique. This reference publication addresses how people generate and interpret speech and the way machines simulate human speech functionality and code speech for effective transmission. With a skillful mixing of the elemental rules and technical aspect underlying speech communique, this broad-based publication provide you with crucial insights into the field.You will study cutting-edge concepts to investigate, code, realize, and synthesize speech. additionally, you'll achieve a greater figuring out of the boundaries of trendy know-how and an educated view of destiny traits for speech examine. SPEECH COMMUNICATIONS brings you an built-in method of human and laptop speech creation and belief that's unequalled within the box. This booklet is entire with up to date references and net addresses that would lead you to a wealth of assets to your personal examine into speech communication."

Show description

Read Online or Download Speech Communications: Human and Machine PDF

Similar artificial intelligence books

Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)

Stochastic neighborhood seek (SLS) algorithms are one of the so much sought after and profitable concepts for fixing computationally tough difficulties in lots of components of desktop technology and operations learn, together with propositional satisfiability, constraint pride, routing, and scheduling. SLS algorithms have additionally turn into more and more renowned for fixing difficult combinatorial difficulties in lots of program components, resembling e-commerce and bioinformatics.

Neural Networks for Pattern Recognition

This is often the 1st complete remedy of feed-forward neural networks from the point of view of statistical trend reputation. After introducing the fundamental strategies, the publication examines thoughts for modeling chance density features and the houses and benefits of the multi-layer perceptron and radial foundation functionality community types.

Handbook of Temporal Reasoning in Artificial Intelligence, Volume 1

This assortment represents the first reference paintings for researchers and scholars within the zone of Temporal Reasoning in synthetic Intelligence. Temporal reasoning has a necessary function to play in lots of components, really man made Intelligence. but, formerly, there was no unmarried quantity accumulating jointly the breadth of labor during this zone.

Programming Multi-Agent Systems in AgentSpeak using Jason

Jason is an Open resource interpreter for a longer model of AgentSpeak – a logic-based agent-oriented programming language – written in Java™. It permits clients to construct complicated multi-agent structures which are in a position to working in environments formerly thought of too unpredictable for desktops to address.

Extra info for Speech Communications: Human and Machine

Sample text

By convention, V is obtained by subtracting the voltage at the port where current leaves from the voltage at the other port. A resistor has a simple linear V-I characteristic: V = IR, where R is a constant resistance with units of ohms. For a capacitor, I = C dV Idt, and for an inductor, V = L dl f dt, where the capacitance C (in farads) and the inductance L (in henries) are constants. In the latter cases, both voltage and current vary with time. Current is said to lead voltage in a capacitor and lag it in an inductor, where the phase differences are 90° in the case of sinusoidal signals.

Such estimation of averages and variances involves simple statistics. (e) Speaker recognition can involve decisions based on statistics of many parameters extracted from speech signals. To measure the interdependence of these parameters, the concepts of joint and conditional probability are important. 1 Probability Densities and Histograms A basic probability event involves an experiment that may have one of N possible outcomes. , when a fair die is tossed, there is a one-sixth chance for each of the six faces to appear.

Quantization effects are usually modeled as effectively adding random noise to the original signal. Modeling the time behavior and amount of energy in such noise requires elementary probability theory. , for automatic recognition) often requires averaging data for more efficient and robust speech representations. Measuring the variability of such data also helps to determine their reliability for use in making recognition decisions. Such estimation of averages and variances involves simple statistics.

Download PDF sample

Rated 4.23 of 5 – based on 8 votes