{'fraction_non_alphanumeric': 0.016786570743405275, 'fraction_numerical': 0.001199040767386091, 'mean_word_length': 5.2781954887218046, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Speech Recognition and Understanding on Hardware-Accelerated DSP

A smart home controller that responds to natural language input is demonstrated on an Intel® embedded processor. This device contains two DSP cores and a neural network co-processor which share 4MB SRAM. An embedded configuration of the Intel® RealSpeechTM speech recognizer and intent extraction engine runs on the DSP cores with neural network operations offloaded to the co-processor. The prototype demonstrates that continuous speech recognition and understanding is possible on hardware with very low power consumption. As an example application, control of lights in a home via natural language is shown. An Intel® development kit is demonstrated together with a set of tools. Conference attendees are encouraged to interact with the demo and development system.