公开(公告)号：US20160171970A1

公开(公告)日：2016-06-16

申请号：US15049579

申请日：2016-02-22

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yeon-Jun KIM ,  Mark Charles BEUTNAGEL ,  Alistair D. CONKIE ,  Ann K. Syrdal

IPC: G10L13/033 ,  G10L13/04 ,  G10L13/10 ,  G10L13/027

CPC classification number: G10L13/033 ,  G10L13/027 ,  G10L13/043 ,  G10L13/10 ,  G10L15/1807 ,  G10L25/00

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for detecting and correcting abnormal stress patterns in unit-selection speech synthesis. A system practicing the method detects incorrect stress patterns in selected acoustic units representing speech to be synthesized, and corrects the incorrect stress patterns in the selected acoustic units to yield corrected stress patterns. The system can further synthesize speech based on the corrected stress patterns. In one aspect, the system also classifies the incorrect stress patterns using a machine learning algorithm such as a classification and regression tree, adaptive boosting, support vector machine, and maximum entropy. In this way a text-to-speech unit selection speech synthesizer can produce more natural sounding speech with suitable stress patterns regardless of the stress of units in a unit selection database.

公开(公告)号：US20150170637A1

公开(公告)日：2015-06-18

申请号：US14628790

申请日：2015-02-23

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yeon-Jun KIM ,  Mark Charles BEUTNAGEL ,  Alistair D. CONKIE ,  Ann K. Syrdal

IPC: G10L13/10

CPC classification number: G10L13/033 ,  G10L13/027 ,  G10L13/043 ,  G10L13/10 ,  G10L15/1807 ,  G10L25/00

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for detecting and correcting abnormal stress patterns in unit-selection speech synthesis. A system practicing the method detects incorrect stress patterns in selected acoustic units representing speech to be synthesized, and corrects the incorrect stress patterns in the selected acoustic units to yield corrected stress patterns. The system can further synthesize speech based on the corrected stress patterns. In one aspect, the system also classifies the incorrect stress patterns using a machine learning algorithm such as a classification and regression tree, adaptive boosting, support vector machine, and maximum entropy. In this way a text-to-speech unit selection speech synthesizer can produce more natural sounding speech with suitable stress patterns regardless of the stress of units in a unit selection database.

Abstract translation: 这里公开了用于在单位选择语音合成中检测和校正异常应力模式的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统检测表示要合成的语音的所选声学单元中的不正确应力模式，并且校正所选声学单元中的不正确应力模式以产生校正的应力模式。 该系统可以基于校正的应力模式进一步合成语音。 在一个方面，系统还使用诸如分类和回归树，自适应增强，支持向量机和最大熵的机器学习算法对不正确的应力模式进行分类。 以这种方式，文本到语音单元选择语音合成器可以产生具有合适的应力模式的更自然的声音语音，而不管单元选择数据库中的单元的应力。

公开(公告)号：US20130268103A1

公开(公告)日：2013-10-10

申请号：US13867264

申请日：2013-04-22

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yeon-Jun KIM ,  I. Dan MELAMED ,  Steven Neil TISCHER ,  Bernard S. RENGER

IPC: G06F17/00

CPC classification number: G06F17/30761 ,  G06F17/00 ,  G10L15/083 ,  G10L25/48 ,  G10L25/78 ,  G10L25/87 ,  G10L25/90

Abstract: Methods, apparatuses, and media for filtering a data stream are provided. The data stream is partitioned into a plurality of data stream segments. An acoustic parameter of each of the data stream segments is measured, and it is determined whether the acoustic parameter of each of the data stream segments satisfies a predetermined condition. Extraneous segments of the data stream segments are identified in which the predetermined condition is satisfied, and it is determined whether the extraneous segments have a predetermined relationship in the data stream. The extraneous segments are deleted from the data stream to produce a filtered data stream in response to the extraneous segments having the predetermined relationship.

Abstract translation: 提供了用于过滤数据流的方法，设备和介质。 数据流被划分成多个数据流段。 测量每个数据流段的声学参数，并且确定每个数据流段的声学参数是否满足预定条件。 识别数据流段的外部段，其中满足预定条件，并且确定外部段在数据流中是否具有预定关系。 响应于具有预定关系的外部段，从数据流中删除无关段以产生经滤波的数据流。