Bøger i SpringerBriefs in Speech Technology serien

The author covers the fundamentals of both information and communication security including current developments in some of the most critical areas of automatic speech recognition.

Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods.

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems.

Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications.

"Emotion Recognition Using Speech Features" provides coverage of emotion-specific features present in speech. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models.

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.

"Phonetic Search Methods for Large Databases" focuses on Keyword Spotting (KWS) within large speech databases.

This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments.