International Business Machines Corporation

Intel Corporation

Shay Maymon

Tara N Sainath

Bhuvana Ramabhadran

David Nahamoo

Vaibhava Goel

Etienne Marcheret

Brian E D Kingsbury

Petr Fousek

Vijayaditya Peddinti

Hila Barel

An apparatus is described herein. The apparatus comprises a controller, a logarithmic tone-reproduction operator, a processor, and a compressor. The controller is to calculate a regularization term and a contrast preservation term of an objective function. The logarithmic tone-reproduction operator is to produce a reference image. The processor is to obtain a compressed luminance from the objective function as applied to the reference image. The compressor is to compress a high dynamic range (HDR) image by applying a gain term to the HDR image based on the compressed luminance.

Contrast optimization and local adaptation approach for high dynamic range compression

Deep scattering spectral features are extracted from an acoustic input signal to generate a deep scattering spectral feature representation of the acoustic input signal. The deep scattering spectral feature representation is input to a speech recognition engine. The acoustic input signal is decoded based on at least a portion of the deep scattering spectral feature representation input to a speech recognition engine.

Deep scattering spectrum in acoustic modeling for speech recognition

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Raanana, Israel

Shay Maymon