Speech processing
From Wikipedia, the free encyclopedia
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. 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.
[edit] Books
[edit] See also
[edit] External links
- Center for Language and Speech Processing at JHU
- Speech Processing Group
- Speech Processing Group at the Laboratory of Applied Physics
- Speech and Language Processing
- Speech Processing
- Speech Processing Discussion Group
- Philips Speech Recognition Systems
- IDIAP Research Institute Speech Processing
| Digital signal processing |
|---|
| Theory — 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) | bilinear transform | Z-transform, advanced Z-transform |
| Sampling — oversampling | undersampling | downsampling | upsampling | aliasing | anti-aliasing filter | sampling rate | Nyquist rate/frequency |
