公开(公告)号：US08312492B2

公开(公告)日：2012-11-13

申请号：US11725591

申请日：2007-03-19

申请人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

发明人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

IPC分类号： H04N7/173 ,  G06F15/00 ,  G10L11/00

CPC分类号： H04N21/6373 ,  H04N5/4401 ,  H04N5/765 ,  H04N5/775 ,  H04N5/783 ,  H04N7/56 ,  H04N9/8063 ,  H04N21/2335 ,  H04N21/234381 ,  H04N21/2393 ,  H04N21/4307 ,  H04N21/4325 ,  H04N21/47202 ,  H04N21/6587

摘要： A method and system of providing media content is disclosed. In a particular embodiment, the method includes receiving media content from a content source at a set-top box device. The media content includes video data having a first playback rate and audio data having the first playback rate. The method further includes transforming the audio data via a non-linear transformation to produce modified audio data having a second playback rate, modifying the video data to produce modified video data having the second playback rate, and synchronizing the modified audio data and the modified video data to produce modified media content having the second playback rate. A network-based media content storage device and associated logic to provide adjusted rate audio content are also disclosed.

摘要翻译： 公开了提供媒体内容的方法和系统。 在特定实施例中，该方法包括在机顶盒设备处从内容源接收媒体内容。 媒体内容包括具有第一播放速率的视频数据和具有第一播放速率的音频数据。 该方法还包括经由非线性变换来变换音频数据以产生具有第二播放速率的修改的音频数据，修改视频数据以产生具有第二播放速率的修改的视频数据，以及使修改的音频数据和修改的视频同步 数据以产生具有第二播放速率的修改的媒体内容。 还公开了一种基于网络的媒体内容存储设备和相关逻辑以提供经调整的速率音频内容。

公开(公告)号：US08428443B2

公开(公告)日：2013-04-23

申请号：US11716995

申请日：2007-03-12

申请人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

发明人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

IPC分类号： H04N5/783 ,  G06F3/00

CPC分类号： H04N9/87 ,  H04N5/765 ,  H04N5/782 ,  H04N21/4334 ,  H04N21/4398 ,  H04N21/440281 ,  H04N21/4621

摘要： A method of providing modified media content is disclosed that includes providing media content to a destination device via a network, where the media content comprises video data and audio data have a first viewing rate. The method further includes receiving data indicating a selection of a second viewing rate via the network and modifying the media content to produce modified media content having approximately the second viewing rate. The modified media content includes modified video data and modified audio data synchronized at approximately the second viewing rate.

摘要翻译： 公开了一种提供修改的媒体内容的方法，其包括经由网络向目的地设备提供媒体内容，其中，媒体内容包括视频数据和音频数据具有第一观看速率。 该方法还包括接收经由网络指示选择第二观看速率的数据，并修改媒体内容以产生具有大约第二观看速率的修改的媒体内容。 修改的媒体内容包括修改的视频数据和大约第二观看速率同步的修改的音频数据。

公开(公告)号：US20080235741A1

公开(公告)日：2008-09-25

申请号：US11725591

申请日：2007-03-19

申请人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

发明人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

IPC分类号： H04N7/173

CPC分类号： H04N21/6373 ,  H04N5/4401 ,  H04N5/765 ,  H04N5/775 ,  H04N5/783 ,  H04N7/56 ,  H04N9/8063 ,  H04N21/2335 ,  H04N21/234381 ,  H04N21/2393 ,  H04N21/4307 ,  H04N21/4325 ,  H04N21/47202 ,  H04N21/6587

摘要： A method and system of providing media content is disclosed. In a particular embodiment, the method includes receiving media content from a content source at a set-top box device. The media content includes video data having a first playback rate and audio data having the first playback rate. The method further includes transforming the audio data via a non-linear transformation to produce modified audio data having a second playback rate, modifying the video data to produce modified video data having the second playback rate, and synchronizing the modified audio data and the modified video data to produce modified media content having the second playback rate. A network-based media content storage device and associated logic to provide adjusted rate audio content are also disclosed.

摘要翻译： 公开了提供媒体内容的方法和系统。 在特定实施例中，该方法包括在机顶盒设备处从内容源接收媒体内容。 媒体内容包括具有第一播放速率的视频数据和具有第一播放速率的音频数据。 该方法还包括经由非线性变换来变换音频数据以产生具有第二播放速率的修改的音频数据，修改视频数据以产生具有第二播放速率的修改的视频数据，以及使修改的音频数据和修改的视频同步 数据以产生具有第二播放速率的修改的媒体内容。 还公开了一种基于网络的媒体内容存储设备和相关逻辑以提供经调整的速率音频内容。

公开(公告)号：US20080226256A1

公开(公告)日：2008-09-18

申请号：US11716995

申请日：2007-03-12

申请人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

发明人： Andrej Ljolje ,  Ann Syrdal ,  Alistair Conkie

IPC分类号： H04N5/91

CPC分类号： H04N9/87 ,  H04N5/765 ,  H04N5/782 ,  H04N21/4334 ,  H04N21/4398 ,  H04N21/440281 ,  H04N21/4621

摘要： A method of providing modified media content is disclosed that includes providing media content to a destination device via a network, where the media content comprises video data and audio data have a first viewing rate. The method further includes receiving data indicating a selection of a second viewing rate via the network and modifying the media content to produce modified media content having approximately the second viewing rate. The modified media content includes modified video data and modified audio data synchronized at approximately the second viewing rate.

摘要翻译： 公开了一种提供修改的媒体内容的方法，其包括经由网络向目的地设备提供媒体内容，其中媒体内容包括视频数据和音频数据具有第一观看速率。 该方法还包括接收经由网络指示选择第二观看速率的数据，并修改媒体内容以产生具有大约第二观看速率的修改的媒体内容。 修改的媒体内容包括修改的视频数据和大约第二观看速率同步的修改的音频数据。

公开(公告)号：US08024191B2

公开(公告)日：2011-09-20

申请号：US11930999

申请日：2007-10-31

申请人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

发明人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

IPC分类号： G10L15/04

CPC分类号： G10L25/78 ,  G10L15/02

摘要： Systems and methods are provided for recognizing speech in a spoken dialogue system. The method includes receiving input speech having a pre-vocalic consonant or a post-vocalic consonant, generating at least one output lattice that calculates a first score by comparing the input speech to a training model to provide a result and distinguishing between the pre-vocalic consonant and the post-vocalic consonant in the input speech. A second score is calculated by measuring a similarity between the pre-vocalic consonant or the post vocalic consonant in the input speech and the first score. At least one category is determined for the pre-vocalic match or mismatch or the post-vocalic match or mismatch by using the second score and the results of the an automated speech recognition (ASR) system are refined by using the at least one category for the pre-vocalic match or mismatch or the post-vocalic match or mismatch.

摘要翻译： 提供了系统和方法来识别语音对话系统中的语音。 该方法包括接收具有声前辅音或声后辅音的输入语音，通过将输入的语音与训练模型进行比较来产生至少一个输出格数，该输出格式通过比较输入语音来提供结果并区分前语音 辅音和语音后辅音。 通过测量输入语音中的声前辅音或声音后辅音与第一分数之间的相似度来计算第二分。 通过使用第二分数来确定至少一个类别，用于通过使用第二分数进行语前匹配或不匹配或者后声匹配或不匹配，并且通过使用至少一个类别对自动语音识别（ASR）系统的结果进行改进， 前声匹配或不匹配或后声匹配或不匹配。

公开(公告)号：US20090112591A1

公开(公告)日：2009-04-30

申请号：US11930999

申请日：2007-10-31

申请人： Yeon-Jun KIM ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

发明人： Yeon-Jun KIM ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

IPC分类号： G10L15/00

CPC分类号： G10L25/78 ,  G10L15/02

摘要： Disclosed are systems and methods for recognizing speech in a spoken dialogue system. The method includes (1) receiving an input speech having at least one pre-vocalic consonant or at least one post-vocalic consonant, (2) generating at least one output lattice that calculates a first score by comparing the input speech to a training model to provide a result; (3) distinguishing between the at least one pre-vocalic consonant and the at least one post-vocalic consonant in the input speech, (4) calculating a second score by measuring a similarity between the at least one pre-vocalic consonant or the at least one post vocalic consonant in the input speech and the first score, (5) determining at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch by using the second score, and (6) refining the results of the an automated speech recognition (ASR) system by using the at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch.

摘要翻译： 公开了用于在口头对话系统中识别语音的系统和方法。 该方法包括（1）接收具有至少一个声前辅音或至少一个声后辅音的输入语音，（2）通过将输入的语音与训练模型进行比较来产生计算第一分数的至少一个输出格 提供结果; （3）在所述输入语音中区分所述至少一个声前辅音和所述至少一个声后辅音，（4）通过测量所述至少一个声前辅音或所述至少一个声前辅音之间的相似度来计算第二分数 输入语音和第一分数中的至少一个声音辅音，（5）通过使用第二分数来确定至少一个人声前匹配或不匹配或至少一个后声匹配或不匹配的至少一个类别，以及（ 6）通过使用至少一个类别进行至少一个声前匹配或不匹配或至少一个后声匹配或不匹配，来改进自动语音识别（ASR）系统的结果。

公开(公告)号：US20090112594A1

公开(公告)日：2009-04-30

申请号：US11930675

申请日：2007-10-31

申请人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

发明人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

IPC分类号： G10L15/00

CPC分类号： G10L25/78 ,  G10L15/02

摘要： Disclosed are systems, methods and computer readable media for training acoustic models for an automatic speech recognition systems (ASR) system. The method includes receiving a speech signal, defining at least one syllable boundary position in the received speech signal, based on the at least one syllable boundary position, generating for each consonant in a consonant phoneme inventory a pre-vocalic position label and a post-vocalic position label to expand the consonant phoneme inventory, reformulating a lexicon to reflect an expanded consonant phoneme inventory, and training a language model for an automated speech recognition (ASR) system based on the reformulated lexicon.

摘要翻译： 公开了用于训练用于自动语音识别系统（ASR）系统的声学模型的系统，方法和计算机可读介质。 该方法包括基于所述至少一个音节边界位置接收定义接收到的语音信号中的至少一个音节边界位置的语音信号，在辅音音素库中为每个辅音生成声前位置标签和后声音位置标签， 声音位置标签，以扩展辅音音素库存，重新设计词典，以反映扩展的辅音音素库存，并为基于重新设计的词典的自动语音识别（ASR）系统培训语言模型。

公开(公告)号：US08015008B2

公开(公告)日：2011-09-06

申请号：US11930675

申请日：2007-10-31

申请人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

发明人： Yeon-Jun Kim ,  Alistair Conkie ,  Andrej Ljolje ,  Ann K. Syrdal

IPC分类号： G10L15/04

CPC分类号： G10L25/78 ,  G10L15/02

摘要： Disclosed are systems, methods and computer readable media for training acoustic models for an automatic speech recognition systems (ASR) system. The method includes receiving a speech signal, defining at least one syllable boundary position in the received speech signal, based on the at least one syllable boundary position, generating for each consonant in a consonant phoneme inventory a pre-vocalic position label and a post-vocalic position label to expand the consonant phoneme inventory, reformulating a lexicon to reflect an expanded consonant phoneme inventory, and training a language model for an automated speech recognition (ASR) system based on the reformulated lexicon.

摘要翻译： 公开了用于训练用于自动语音识别系统（ASR）系统的声学模型的系统，方法和计算机可读介质。 该方法包括基于所述至少一个音节边界位置接收定义接收到的语音信号中的至少一个音节边界位置的语音信号，在辅音音素库中为每个辅音生成声前位置标签和后声音位置标签， 声音位置标签，以扩展辅音音素库存，重新设计词典，以反映扩展的辅音音素库存，并为基于重新设计的词典的自动语音识别（ASR）系统培训语言模型。

公开(公告)号：US08548807B2

公开(公告)日：2013-10-01

申请号：US12480848

申请日：2009-06-09

申请人： Andrej Ljolje ,  Alistair D. Conkie ,  Ann K. Syrdal

发明人： Andrej Ljolje ,  Alistair D. Conkie ,  Ann K. Syrdal

IPC分类号： G10L15/04

CPC分类号： G10L17/14 ,  G10L15/063 ,  G10L15/07 ,  G10L15/14 ,  G10L15/187 ,  G10L15/265 ,  G10L15/30 ,  G10L2015/025

摘要： Disclosed herein are systems, computer-implemented methods, and computer-readable storage media for recognizing speech by adapting automatic speech recognition pronunciation by acoustic model restructuring. The method identifies an acoustic model and a matching pronouncing dictionary trained on typical native speech in a target dialect. The method collects speech from a new speaker resulting in collected speech and transcribes the collected speech to generate a lattice of plausible phonemes. Then the method creates a custom speech model for representing each phoneme used in the pronouncing dictionary by a weighted sum of acoustic models for all the plausible phonemes, wherein the pronouncing dictionary does not change, but the model of the acoustic space for each phoneme in the dictionary becomes a weighted sum of the acoustic models of phonemes of the typical native speech. Finally the method includes recognizing via a processor additional speech from the target speaker using the custom speech model.

公开(公告)号：US08374867B2

公开(公告)日：2013-02-12

申请号：US12618371

申请日：2009-11-13

申请人： Andrej Ljolje ,  Bernard S. Renger ,  Steven Neil Tischer

发明人： Andrej Ljolje ,  Bernard S. Renger ,  Steven Neil Tischer

IPC分类号： G10L15/06

CPC分类号： G10L15/075 ,  G10L15/063 ,  G10L15/065 ,  G10L15/07 ,  G10L15/08

摘要： Disclosed herein are systems, methods, and computer-readable storage media for selecting a speech recognition model in a standardized speech recognition infrastructure. The system receives speech from a user, and if a user-specific supervised speech model associated with the user is available, retrieves the supervised speech model. If the user-specific supervised speech model is unavailable and if an unsupervised speech model is available, the system retrieves the unsupervised speech model. If the user-specific supervised speech model and the unsupervised speech model are unavailable, the system retrieves a generic speech model associated with the user. Next the system recognizes the received speech from the user with the retrieved model. In one embodiment, the system trains a speech recognition model in a standardized speech recognition infrastructure. In another embodiment, the system handshakes with a remote application in a standardized speech recognition infrastructure.