Издательство InTech, 2012, -149 pp.Speech processing is the process by which speech signals are interpreted, understood, and acted upon. Interpretation and production of coherent speech are both important in the processing of speech. It is done by automated systems such as voice recognition software or voice-to-text programs. Speech processing includes speech recognition, speaker recognition, speech coding, voice analysis, speech synthesis and speech enhancement.
Speech recognition is one of the most important aspects of speech processing because the overall aim of processing speech is to comprehend the speech and act on its linguistic part. One commonly used application of speech recognition is simple speech-to-text conversion, which is used in many word processing programs. Speaker recognition, another element of speech recognition, is also a highly important aspect of speech processing. While speech recognition refers specifically to understanding what is said, speaker recognition is only concerned with who does the speaking. It validates a user's claimed identity using characteristics extracted from their voices. Validating the identity of the speaker can be an important security feature to prevent unauthorized access to or use of a computer system. Another component of speech processing is voice recognition, which is essentially a combination of speech and speaker recognition. Voice recognition occurs when speech recognition programs process the speech of a known speaker; such programs can generally interpret the speech of a known speaker with much greater accuracy than that of a random speaker. Another topic of study in the area of speech processing is voice analysis. Voice analysis differs from other topics in speech processing because it is not really concerned with the linguistic content of speech. It is primarily concerned with speech patterns and sounds. Voice analysis could be used to diagnose problems with the vocal cords or other organs related to speech by noting sounds that are indicative of disease or damage. Sound and stress patterns could also be used to determine if an individual is telling the truth, though this use of voice analysis is highly controversial.
A Real-Time Speech Enhancement Front-End for Multi-Talker Reverberated Scenarios.
Real-Time Dual-Microphone Speech Enhancement.
Mathematical Modeling of Speech Production and Its Application to Noise Cancellation.
Multi-Resolution Spectral Analysis of Vowels in Tunisian Context.
Voice Conversion.
Automatic Visual Speech Recognition.
Recognition of Emotion from Speech: A Review.
