Invention Grant
- Patent Title: Speech model-based neural network-assisted signal enhancement
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Application No.: US15625966Application Date: 2017-06-16
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Publication No.: US10381020B2Publication Date: 2019-08-13
- Inventor: Sean A. Ramprashad
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G10L15/20
- IPC: G10L15/20 ; G10L19/00 ; G10L25/15 ; G10L25/30 ; G10L21/003 ; G10L21/0208 ; G10L21/0232

Abstract:
Several embodiments of a digital speech signal enhancer are described that use an artificial neural network that produces clean speech coding parameters based on noisy speech coding parameters as its input features. A vocoder parameter generator produces the noisy speech coding parameters from a noisy speech signal. A vocoder model generator processes the clean speech coding parameters into estimated clean speech spectral magnitudes. In one embodiment, a magnitude modifier modifies an original frequency spectrum of the noisy speech signal using the estimated clean speech spectral magnitudes, to produce an enhanced frequency spectrum, and a synthesis block converts the enhanced frequency spectrum into time domain, as an output speech sequence. Other embodiments are also described.
Public/Granted literature
- US20180366138A1 Speech Model-Based Neural Network-Assisted Signal Enhancement Public/Granted day:2018-12-20
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