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. 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
- Audio signal processing
- Linguistics
- Phonetics
- Utterance
- Speech signal processing
- Packet Loss Concealment
[edit] External links
- Language Technologies Institute at CMU
- Language Technologies Research Center at IIIT Hyderabad, India
- Center for Language and Speech Processing at JHU
- Center for Research in Urdu Language Processing at FAST-NU
- Spoken Language Processing Group at Columbia University, New York
- Speech Processing Group
- Speech Processing Group at the Laboratory of Applied Physics
- Speech and Hearing Group at University of Sheffield
- Speech and Language Processing
- Speech Processing
- Speech Processing Discussion Group
- Philips Speech Processing
- Philips Speech Recognition Systems
- IDIAP Research Institute Speech Processing
- Nuance Communications
- Crescendo Speech Processing for Healthcare
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