Speech processing

Speech processing is the study of speech signals and the processing methods of these signals.

The signals are usually processed in a digital representation whereby speech processing can be seen as the intersection of digital signal processing and natural language processing.

Speech processing can be divided in the following categories:

Speech recognition, which deals with analysis of the linguistic content of a speech signal.
Speaker recognition, where the aim is to recognize the identity of the speaker.
Enhancement of speech signals, e.g. audio noise reduction,
Speech coding, a specialized form of data compression, is important in the telecommunication area.
Voice analysis for medical purposes, such as analysis of vocal loading and dysfunction of the vocal cords.
Speech synthesis: the artificial synthesis of speech, which usually means computer generated speech.
Speech enhancement: enhancing the perceptual quality of speech signal by removing the destructive effects of noise, limited capacity recording equipment, impairments, etc.

[edit] See also

Digital signal processing
Theory — Discrete frequency \| Nyquist–Shannon sampling theorem \| estimation theory \| detection theory
Sub-fields — audio signal processing \| control engineering \| digital image processing \| speech processing \| statistical signal processing
Techniques — Discrete Fourier transform (DFT) \| Discrete-time Fourier transform (DTFT) \| Impulse invariance \| bilinear transform \| Z-transform, advanced Z-transform
Sampling — oversampling \| undersampling \| downsampling \| upsampling \| aliasing \| anti-aliasing filter \| sampling rate \| Nyquist rate/frequency
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