Package inpro.sphinx.frontend

Some Sphinx frontend processors that come in handy when working with Sphinx and InproTK: An improved implementation of Sphinx' Speech Marker with much improved incremental behaviour (QuickSpeechmarker.java) A processor that reads audio from an RTP stream (RtpRecvProcessor.java) A processor that splits off all frontend processing into a separate thread (ThreadingFrontendBuffer.java) A processor that logs passing audio to TEDview

See:
          Description

Class Summary
ConversionUtil encapsulates conversion of DoubleData objects to a stream of bytes and back
DataThrottle a data processor that throttles the data flow and re-aligns microphone and IU world startup times
Monitor a processor that can be inserted into a Sphinx frontend that plays back the audio received onto the speakers
QuickSpeechMarker Converts a stream of SpeechClassifiedData objects, marked as speech and non-speech, and mark out the regions that are considered speech.
RtpRecvProcessor our new implementation of an RTP reader using NIST JRtp , deprecates RTPDataSource
ThreadingFrontendBuffer A frontend processor that splits off (parts of) frontend processing into separate threads.
WavTEDLogger Tells TEDview about audio that has passed by.
 

Enum Summary
QuickSpeechMarker.State  
 

Package inpro.sphinx.frontend Description

Some Sphinx frontend processors that come in handy when working with Sphinx and InproTK:

Author:
Timo Baumann
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