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Facebook AI research's automatic speech recognition toolkit
... export KENLM_ROOT_DIR=... so that wav2letter++ can find it. This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. Each dataset (test/valid/train) needs to be in a separate file with one sample per line. A sample is specified using 4 columns separated by space (or tabs).
Speech-recognition interface for a domotic system.
This product recognizes oral commands and translates them to domotic orders for a domotic system.
This product does not implement a domotic system. This product is an interface to be plugged to a domotic system.
The speech recognition is done by an arduino UNO board and an EasyVR shield.
Available oral commands are generated from a house description file in XML format. The oral commands have to be trained for a specific users. For this purpose 2 interfaces are provided: a command line...