Patents by Inventor Scott Durham
Scott Durham has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11931878Abstract: A power tool comprises an adjustable auxiliary handle assembly that facilities safe use of the tool by the operator while allowing convenient carry and storage of the tool when not in use. The adjustable auxiliary handle assembly comprises an indexing mechanism that includes an angled connector, a slidable latching mechanism and a handle base. The indexing mechanism allows a longitudinal handle to rotate and be locked in a position convenient and comfortable to the operator. The indexing mechanism is adjustable and can be operated with one hand (e.g., one-handed operation). The latching mechanism holds the auxiliary handle position in place while allowing the power tool to be used in high-torque/high load applications.Type: GrantFiled: October 30, 2020Date of Patent: March 19, 2024Assignee: Ingersoll-Rand Industrial U.S., Inc.Inventors: Vairavasundaram Swaminathan, Dennis Naksen, Scott Turner, William Durham, Jefferey C. Yaschur
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Patent number: 10937413Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.Type: GrantFiled: September 24, 2018Date of Patent: March 2, 2021Assignee: Amazon Technologies, Inc.Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Patent number: 10891679Abstract: Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.Type: GrantFiled: September 17, 2018Date of Patent: January 12, 2021Assignee: AMAZON TECHNOLOGIES, INC.Inventors: James H. Wood, Patrick C. Teo, Benjamin L. Shepherd, Korwin J. Smith, Scott Durham, Piragash Velummylum, Emily J. Butler
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Patent number: 10885091Abstract: Approaches provide for a voice communications device to control, refine, or otherwise manage the playback of media content in response to instructions, such as spoken instructions. For example, the voice communications device receives input data associated with a command, such as a request to begin media playback. Accounts corresponding to users associated with the command are identified and one or more refinements extracted from the input data are used to filter content, such as from respective content catalogs or via trained models associated with the users. Determined content is generated that includes content from each of the content catalogs or trained models associated with the users. Thereafter, the voice communications device can initiate media playback.Type: GrantFiled: December 12, 2017Date of Patent: January 5, 2021Assignee: Amazon Technologies, Inc.Inventors: Jane Meng, Toby Ray Latin-Stoermer, Jason Christopher Hall, Kintan Dilipkumar Brahmbhatt, Daniel Paul Ryan, Benjamin Lee Shepherd, Daren Gill, Brandon Scott Durham
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Patent number: 10854189Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.Type: GrantFiled: September 24, 2018Date of Patent: December 1, 2020Assignee: Amazon Technologies, Inc.Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Patent number: 10719838Abstract: Disclosed are various embodiments for generating event recommendations. Embodiments of the disclosure identify an event associated with a location and an artist. An artist recommendation corresponding to the artist is generated for users based upon the media consumption of the users. An event recommendation corresponding to the event is generated for users near the location. A level of demand for the event is determined based upon a conversion rate.Type: GrantFiled: April 7, 2017Date of Patent: July 21, 2020Assignee: Amazon Technologies, Inc.Inventors: Toby Ray Latin-Stoermer, Scott K. Meaker, Scott Durham, Stephen C. Mack, Ralph Cameron Harvey, Erin O. Anderson
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Publication number: 20200098351Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Publication number: 20200098352Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Patent number: 10599390Abstract: Techniques described herein can be used to provide recommendations for multiple users. In particular, one or more users may interact with an interactive device to stream media content or utilize other services provided by a service provider. The users may provide commands to the interactive device to request content from a service provider. Contextual data associated with the request may be used to determine that an audience of the interactive device comprises more than one user. Based on this determination, content recommendations can be provided so that the recommendations are more likely to be suitable for the audience.Type: GrantFiled: December 28, 2015Date of Patent: March 24, 2020Assignee: Amazon Technologies, Inc.Inventors: Kintan Dilipkumar Brahmbhatt, Brandon Scott Durham, Kristine Anne Hanson, Rickesh Pal, Ted William Thetford
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Patent number: 10515399Abstract: The present disclosure provides computer-implemented systems and processes for augmenting user ratings of items, such as a rating of a song playing on a user device, by analyzing contextual information, such as user and/or device activity data associated with the device. The contextual information may be used to determine an associated intensity of the rating or feedback. The determined intensity levels can be used to weigh the associated rating events and improve the quality of item recommendations that are based on such ratings. Contextual information may indicate whether the user transitioned from another application to rate an item, device status information, and so on. In one embodiment, contextual information can be used to assess how intensely the user feels about a music item and to provide improved music recommendations, such as songs to provide in a playlist or radio station, based on the intensity.Type: GrantFiled: December 15, 2014Date of Patent: December 24, 2019Assignee: Amazon Technologies, Inc.Inventors: Brandon Scott Durham, Toby Ray Latin-Stoermer, Darren Levi Malek, Christopher Lon McGilliard
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Patent number: 10380208Abstract: Described herein are online services provided to users based on the current context information of the users. In particular, a user may interact with an interactive device to stream media content from a remote service provider. The user may provide commands to the interactive device using a voice command. The interactive device may transmit requests based on such user command. In order for the service providers to provide customized services, the interactive device can be configured to capture additional contextual data indicative of an environment of the user such as ambient sound and provide such contextual data to the service provider. The service provider can utilize such contextual data to generate content recommendations suitable to the current context of the request or command or user.Type: GrantFiled: December 28, 2015Date of Patent: August 13, 2019Assignee: Amazon Technologies, Inc.Inventors: Kintan Dilipkumar Brahmbhatt, Brandon Scott Durham, Kristine Anne Hanson, Charles Frederick Lee Thorp, Rickesh Pal, Ted William Thetford
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Patent number: 10318236Abstract: Approaches provide for using a voice communications device to control, refine, or otherwise manage the playback of media content in response to a spoken instruction. For example, the voice communications device can receive a request to refine and/or initiate the playback of media content, such as music, news, audio books, audio broadcasts, and other such content. Audio input data that includes the request can be received by the voice communications device and an application executing on the voice communications device or otherwise in communication with the voice communications device can analyze the audio input data to determine how to carry out the request. The application can determine whether there is an active play queue of media content configured to play using the voice communications device. In the situation where there is no media content being played using the voice communications device, the application can determine media content using information in the request.Type: GrantFiled: May 5, 2016Date of Patent: June 11, 2019Assignee: Amazon Technologies, Inc.Inventors: Rickesh Pal, Kintan Dilipkumar Brahmbhatt, Brandon Scott Durham, Jonathan Barnett Feinstein, Yun Suk Paik, Daniel Paul Ryan
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Patent number: 10311361Abstract: A technology for propagating themes is provided. In one example, a method may include identifying media having a content feature contained in a presentation of the media. The method may include extracting the content feature of the media as a continuous variable and discretizing the continuous variable into a bucket representing a discrete value. A theme label may be applied to the media and may be propagated to other media with continuous variables discretized into the subset of buckets.Type: GrantFiled: June 25, 2014Date of Patent: June 4, 2019Assignee: Amazon Technologies, Inc.Inventors: Brandon Scott Durham, Haowei Lu, Christopher Lon McGilliard, Darren Levi Malek, Joshua Fredrick Lutes, Toby Ray Latin-Stoermer
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Publication number: 20190019238Abstract: Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.Type: ApplicationFiled: September 17, 2018Publication date: January 17, 2019Inventors: James H. WOOD, Patrick C. TEO, Benjamin L. SHEPHERD, Korwin J. SMITH, Scott DURHAM, Piragash VELUMMYLUM, Emily J. BUTLER
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Patent number: 10121182Abstract: Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon the activity of a user. The media recommendation application then identifies one or more media item candidates having a number of beats per minute within a predefined delta of the beats per minute value. The media recommendation application then filters out the media items possessed and information associated with the user to identify a subset of the media item candidates to surface as recommendations.Type: GrantFiled: December 23, 2013Date of Patent: November 6, 2018Assignee: Amazon Technologies, Inc.Inventors: James H. Wood, Patrick C. Teo, Benjamin L. Shepherd, Korwin J. Smith, Scott Durham, Piragash Velummylum, Emily J. Butler
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Patent number: 10083232Abstract: The present disclosure provides computer-implemented systems and processes for augmenting user ratings of items, such as a rating of a song playing on a user device, by analyzing contextual information, such as user and/or device activity data associated with the device. The contextual information may be used to determine an associated intensity of the rating or feedback. The determined intensity levels can be used to weigh the associated rating events and improve the quality of item recommendations that are based on such ratings. Contextual information may indicate whether the user transitioned from another application to rate an item, device status information, and so on. In one embodiment, contextual information can be used to assess how intensely the user feels about a music item and to provide improved music recommendations, such as songs to provide in a playlist or radio station, based on the intensity.Type: GrantFiled: December 15, 2014Date of Patent: September 25, 2018Assignee: Amazon Technologies, Inc.Inventors: Brandon Scott Durham, Toby Ray Latin-Stoermer, Darren Levi Malek, Christopher Lon McGilliard
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Patent number: 9977584Abstract: A computing device can periodically acquire a current track time for a media content item being played. The device can periodically compare the current track time with a respective start time and a respective end time for each line (or segment) in a plurality of lines of text (or segments of text) associated with the media content item. If the device determines that the current track time is between start and end times for a given line of text, then the device can display the given line of text. A user of the device can scroll through the lines of text associated with the media content item. If the user selects a particular line of text, the device can identify a start time for the selected line of text. The device can then play the media content item at the identified start time of the selected line of text.Type: GrantFiled: September 21, 2015Date of Patent: May 22, 2018Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Toby Ray Latin-Stoermer, Jonathan Beech, Hari Gangadharan, Gabriela Ahern, Brandon Scott Durham, Darren Levi Malek, Ralph Cameron Harvey, Benjamin Lee Shepherd, Jason Christopher Hall, Andrew Powell McGoogan, Robert Richard Morse
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Publication number: 20170213229Abstract: Disclosed are various embodiments for generating event recommendations. Embodiments of the disclosure identify an event associated with a location and an artist. An artist recommendation corresponding to the artist is generated for users based upon the media consumption of the users. An event recommendation corresponding to the event is generated for users near the location. A level of demand for the event is determined based upon a conversion rate.Type: ApplicationFiled: April 7, 2017Publication date: July 27, 2017Inventors: TOBY RAY LATIN-STOERMER, SCOTT K. MEAKER, SCOTT DURHAM, STEPHEN C. MACK, RALPH CAMERON HARVEY, ERIN O. ANDERSON
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Patent number: 9685175Abstract: A technology for synchronizing text with audio includes analyzing the audio to identify voice segments in the audio where a human voice is present and to identify non-voice segments in proximity to the voice segments. Segmented text associated with the audio, having text segments, may be identified and synchronized to the voice segments.Type: GrantFiled: March 14, 2016Date of Patent: June 20, 2017Assignee: Amazon Technologies, Inc.Inventors: Brandon Scott Durham, Darren Levi Malek, Toby Ray Latin-Stoermer, Abhishek Mishra, Jason Christopher Hall
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Patent number: 9660971Abstract: Disclosed are various embodiments for generating event recommendations. Embodiments of the disclosure obtain media consumption events corresponding to media consumption in a media player user interface. A pattern of media consumption for the user is identified. An artist recommendation is generated based upon the media consumption. An event recommendation is generated corresponding to the artist.Type: GrantFiled: March 8, 2012Date of Patent: May 23, 2017Assignee: Amazon Technologies, Inc.Inventors: Toby Ray Latin-Stoermer, Scott K. Meaker, Scott Durham, Stephen C. Mack, Ralph Cameron Harvey, Erin O. Anderson