C. Hal Hansen - Provo UT Dale Lynn Shepherd - Lindon UT Robert Brian Moncur - Orem UT
Assignee:
Fonix Corporation - Salt Lake City UT
International Classification:
G10L 506
US Classification:
704254
Abstract:
A system and method for identifying the phoneme sound types that are contained within an audio speech signal is disclosed. The system includes a microphone and associated conditioning circuitry, for receiving an audio speech signal and converting it to a representative electrical signal. The electrical signal is then sampled and converted to a digital audio signal with a digital-to-analog converter. The digital audio signal is input to a programmable digital sound processor, which digitally processes the sound so as to extract various time domain and frequency domain sound characteristics. These characteristics are input to a programmable host sound processor which compares the sound characteristics to standard sound data. Based on this comparison, the host sound processor identifies the specific phoneme sounds that are contained within the audio speech signal. The programmable host sound processor further includes linguistic processing program methods to convert the phoneme sounds into English words or other natural language words.
User Independent, Real-Time Speech Recognition System And Method
C. Hal Hansen - Provo UT Dale Lynn Shepherd - Lindon UT Robert Brian Moncur - Orem UT
Assignee:
Fonix Corporation - Salt Lake City UT
International Classification:
G10L 506
US Classification:
395263
Abstract:
A system and method for identifying the phoneme sound types that are contained within an audio speech signal is disclosed. The system includes a microphone and associated conditioning circuitry, for receiving an audio speech signal and converting it to a representative electrical signal. The electrical signal is then sampled and converted to a digital audio signal with a digital-to-analog converter. The digital audio signal is input to a programmable digital sound processor, which digitally processes the sound so as to extract various time domain and frequency domain sound characteristics. These characteristics are input to a programmable host sound processor which compares the sound characteristics to standard sound data. Based on this comparison, the host sound processor identifies the specific phoneme sounds that are contained within the audio speech signal. The programmable host sound processor further includes linguistic processing program methods to convert the phoneme sounds into English words or other natural language words.
Lexington VirginiaSelf at self employed Past: VP & GM F&A Products Business at Vertex Business Solutions LLC, Interim CFO at Vertex Data... I was a member of General Electric Company’s financial team for eighteen years from 1973 to 1991, operating in many challenging assignments for the Audio... I was a member of General Electric Company’s financial team for eighteen years from 1973 to 1991, operating in many challenging assignments for the Audio Electronics, Gas Turbine, Plastics, Silicones, Man Made Diamonds, Electromaterials and Distribution businesses. From 1991 to 1997. I was the...