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Frame Blocking in Speech Recognition by rahmid farezi is a document available to read on EtoBox.
What is Frame Blocking in Speech Recognition about?
Frame blocking and windowing is used to analyze speech signals. A speech signal is divided into short frames of 10-30 milliseconds that are assumed to be stationary. Adjacent frames overlap by 0-50% using a window function like Hamming to smooth the signal at frame edges. This allows interpreting the signal characteristics properly by analyzing short stationary segments. Speech recognition systems are then examined using frame blocking and windowing of the speech signal.
- Author
- rahmid farezi
- Language
- EN