公开(公告)号：US20190355379A1

公开(公告)日：2019-11-21

申请号：US16531500

申请日：2019-08-05

Applicant: Intel Corporation

Inventor： Binuraj K. Ravindran ,  Francis M. Tharappel ,  Prabhakar R. Datta ,  Tobias Bocklet ,  Maciej Muchlinski ,  Tomasz Dorau ,  Josef G. Bauer ,  Saurin Shah ,  Georg Stemmer

IPC: G10L25/24 ,  G10L15/08 ,  G10L15/30

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for distributed automatic speech recognition. An example apparatus includes a detector to process an input audio signal and identify a portion of the input audio signal including a sound to be evaluated, the sound to be evaluated organized into a plurality of audio features representing the sound. The example apparatus includes a quantizer to process the audio features using a quantization process to reduce the audio features to generate a reduced set of audio features for transmission. The example apparatus includes a transmitter to transmit the reduced set of audio features over a low-energy communication channel for processing.

公开(公告)号：US20190043529A1

公开(公告)日：2019-02-07

申请号：US16001496

申请日：2018-06-06

Applicant: Intel Corporation

Inventor： Maciej Muchlinski ,  Tobias Bocklet

IPC: G10L25/84 ,  G10L15/06 ,  G10L15/22 ,  G10L15/02 ,  G10L15/14

Abstract: Speech or non-speech detection techniques are discussed and include updating a speech pattern model using probability scores from an acoustic model to generate a score for each state of the speech pattern model, such that the speech pattern model includes a first non-speech state having multiple self loops each associated with a non-speech probability score of the probability scores, a plurality of speech states following the first non-speech state, and a second non-speech state following the speech states, and detecting speech based on a comparison of a score of the first non-speech state and a score of the last speech state of the multiple speech states.

公开(公告)号：US20190043507A1

公开(公告)日：2019-02-07

申请号：US16014356

申请日：2018-06-21

Applicant: Intel Corporation

Inventor： Jonathan J. Huang ,  Tobias Bocklet

IPC: G10L17/00 ,  G10L17/24 ,  G10L17/04

Abstract: Techniques related to a method and system of robust speaker recognition activation are described herein. Such techniques apply keyphrase detection and speaker recognition to a subsequent phrase after detecting a waking keyphrase.

公开(公告)号：US20190043503A1

公开(公告)日：2019-02-07

申请号：US16106852

申请日：2018-08-21

Applicant: Intel Corporation

Inventor： Josef Bauer ,  Tobias Bocklet ,  Joachim Hofer ,  Munir Georges

IPC: G10L15/22 ,  G10L15/02 ,  G10L25/54

Abstract: An automatic speech recognition (ASR) system includes a memory configured to store a filler model. The filler model includes one or more phonetic strings corresponding to one or more portions of a wake up phrase. The ASR system also includes one or more processors operatively coupled to the memory and configured to analyze a speech signal with the filler model to determine whether the speech signal includes the wake up phrase or any portion of the wake up phrase. The one or more processors are also configured to generate, based on the analysis, a hypothesis of underlying speech included in the speech signal. The hypothesis excludes the wake up phrase or any portion of the wake up phrase included in the speech signal.

公开(公告)号：US20170200451A1

公开(公告)日：2017-07-13

申请号：US15128935

申请日：2014-07-04

Applicant: INTEL CORPORATION

Inventor： Tobias Bocklet ,  Adam Marek ,  Piotr Chlebek

IPC: G10L17/08 ,  G10L17/02 ,  G10L17/16 ,  G10L25/24

CPC classification number: G10L17/08 ,  G10L17/02 ,  G10L17/06 ,  G10L17/16 ,  G10L25/24

Abstract: Techniques related to detecting replay attacks on automatic speaker verification systems are discussed. Such techniques may include receiving an utterance from a user or a device playing back the utterance, determining features associated with the utterance, and classifying the utterance in a replay utterance class or an original utterance class based on a statistical classification or a margin classification of the utterance using the features.