Eric D Battenberg

US Patent:

20090060214, Mar 5, 2009

Filed:

Aug 12, 2008

Appl. No.:

12/190582

Inventors:

David Wessel - Berkeley CA, US
Eric Battenberg - Berkeley CA, US
Andrew Schmeder - Oakland CA, US
Kelly Fitz - El Cerrito CA, US
Brent Edwards - San Francisco CA, US

International Classification:

H04R 29/00

US Classification:

381 60

Abstract:

A system for hearing assistance devices to assist hearing aid fitting applied to individual differences in hearing impairment. The system is also usable for assisting fitting and use of hearing assistance devices for listeners of music. The method uses a subjective space approach to reduce the dimensionality of the fitting problem and a non-linear regression technology to interpolate among hearing aid parameter settings. This listener-driven method provides not only a technique for preferred aid fitting, but also information on individual differences and the effects of gain compensation on different musical styles.

US Patent:

20120134521, May 31, 2012

Filed:

Feb 8, 2012

Appl. No.:

13/368760

Inventors:

David Wessel - El Cerrito CA, US
Eric Battenberg - Berkeley CA, US
Andrew Schmeder - Oakland CA, US
Kelly Fitz - Eden Prairie MN, US
Brent Edwards - San Francisco CA, US

Assignee:

University of California - Berkeley CA

International Classification:

H04R 25/00

US Classification:

381314

Abstract:

A system for hearing assistance devices to assist hearing aid fitting applied to individual differences in hearing impairment. The system is also usable for assisting fitting and use of hearing assistance devices for listeners of music. The method uses a subjective space approach to reduce the dimensionality of the fitting problem and a non-linear regression technology to interpolate among hearing aid parameter settings. This listener-driven method provides not only a technique for preferred aid fitting, but also information on individual differences and the effects of gain compensation on different musical styles.

US Patent:

20210035551, Feb 4, 2021

Filed:

Jul 16, 2020

Appl. No.:

16/931336

Inventors:

- Mountain View CA, US
Eric Dean Battenberg - Sunnyvale CA, US
Russell John Wyatt Skerry-Ryan - Mountain View CA, US
David Teh-Hwa Kao - San Francisco CA, US
Thomas Edward Bagby - SanSan Francisco CA, US
Sean Matthew Shannon - Mountain View CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G10L 13/10

Abstract:

A system for generating an output audio signal includes a context encoder, a text-prediction network, and a text-to-speech (TTS) model. The context encoder is configured to receive one or more context features associated with current input text and process the one or more context features to generate a context embedding associated with the current input text. The text-prediction network is configured to process the current input text and the context embedding to predict, as output, a style embedding for the current input text. The style embedding specifies a specific prosody and/or style for synthesizing the current input text into expressive speech The TTS model is configured to process the current input text and the style embedding to generate an output audio signal of expressive speech of the current input text. The output audio signal has the specific prosody and/or style specified by the style embedding.

US Patent:

20150281862, Oct 1, 2015

Filed:

Feb 2, 2015

Appl. No.:

14/611701

Inventors:

- Berkeley CA, US
Eric Battenberg - Berkeley CA, US
Andrew Schmeder - Oakland CA, US
Kelly Fitz - Eden Prairie MN, US
Brent Edwards - San Francisco CA, US

International Classification:

H04R 25/00

Abstract:

A system for hearing assistance devices to assist hearing aid fitting applied to individual differences in hearing impairment. The system is also usable for assisting fitting and use of hearing assistance devices for listeners of music. The method uses a subjective space approach to reduce the dimensionality of the fitting problem and a non-linear regression technology to interpolate among hearing aid parameter settings. This listener-driven method provides not only a technique for preferred aid fitting, but also information on individual differences and the effects of gain compensation on different musical styles.