Fred W Deutsch, 786111 Montrose Rd APT 611, Rockville, MD 20852

2007021, Sep 13, 2007

Mar 8, 2006

11/370682

Oytun Turk - Istanbul, TR
Levent Mustafa Arslan - Istanbul, TR
Fred Deutsch - New York NY, US

Voxonic, Inc. - New York NY

G10L 13/06

704268

The conversion of speech can be used to transform an utterance by a source speaker to match the speech characteristic of a target speaker, for applications such as dubbing a motion picture. During a training phase, utterances corresponding to the same sentences by both the target speaker and source speaker are force aligned according to the phonemes within the sentences. A transformation or mapping is trained so that each frame of the source utterances is mapped to a corresponding frame of the target utterance. After the completion of the training phase, a source utterance is divided into frames, which are transformed into target frames. After all target frames are created from the sequence of frames from the source utterance, a target utterance is created having the speech of the source speaker, but with the vocal characteristics of the target speaker.

2008030, Dec 11, 2008

Nov 23, 2005

11/720064

Fred Deutsch - New York NY, US

A61B 5/00

600300

A diet management system and method thereof is disclosed, which aids in the facilitation of a diet and fitness feedback and tracking. In particular, a communication module, text-to-speech converter, VOX, and server are used in the diet management system. Several communication devices are employed that allows the dieter a broad choice of communicating dietary information. Moreover, the processing and storing of dietary reports are maintained by a network server.

2007002, Feb 1, 2007

Mar 14, 2006

11/376377

Oytun Turk - Istanbul, TR
Levent Arslan - Istanbul, TR
Fred Deutsch - New York NY, US

Voxonic, Inc. - New York NY

G10L 17/00

704246000

An automatic donor selection algorithm estimates the subjective voice conversion output quality from a set of objective distance measures between the source and target speaker's acoustical features. The algorithm learns the relationship of the subjective scores and the objective distance measures through nonlinear regression with an MLP. Once the MLP is trained, the algorithm can be used in the selection or ranking of a set of source speakers in terms of the expected output quality for transformations to a specific target voice.