Abstract: The various implementations described herein include methods and devices for speaker diarization. In one aspect, a method includes obtaining an audio recording and generating an embedding signal from the audio recording. The method further includes factoring the embedding signal to obtain a basis matrix and an activation matrix, including obtaining a sparse optimization of the embedding signal by minimizing a norm corresponding to the factored embedding signal. The method also includes generating a speaker log for the audio recording based on the sparse optimization of the embedding signal.

Abstract: A method includes retrieving a text from a database. The text corresponds to audio from a media content item that is provided by a media providing service, and the text includes a plurality of segments. The method also includes assigning a score for each segment in the text by applying the text to a trained computational model. The score corresponds to a predicted relevance of the respective segment to a narrative of the media content item. The method further includes identifying a non-narrative segment within the text using the assigned scores.

Abstract: Systems and methods for teaching a user a language using media content are provided. Translation prompts may be automatically presented to the user as the user listens to music on a computing device. The translation prompts may present a question to the user asking the user to translate a lyric in the music. The translation prompts may be personalized for the user based on the user's skill level and language learning needs. Music may also be selected for the user based on the user's music taste and the music having lyrics that are appropriate for the user's skill level and language learning needs.

Abstract: The various implementations described herein include methods and devices for identifying a language in audio content. In one aspect, a method includes obtaining audio content and generating a speaker embedding from the audio content. The method further includes determining, via a language identification model, a language of the audio content based on the speaker embedding.

Abstract: An electronic device obtains a listening history for a media item, the listening history including retention information indicating, for each respective portion of a plurality of portions of the media item, a number of listeners who listened to the respective portion of the media item. The electronic device, using the retention information, determines a pattern indicating a reduction in the number of listeners who listened to corresponding portions of the media item and determines a start time and an end time corresponding to a first portion of the corresponding portions of the media item. In accordance with the determination that the first portion of the corresponding portions of the media item meets predefined sub-content criteria, the electronic device stores an indication that the first portion of the media item comprises first sub-content, different from primary content, embedded in the media item.

Abstract: The various implementations described herein include methods and devices for speaker diarization. In one aspect, a method includes obtaining an audio recording and generating an embedding signal from the audio recording. The method further includes factoring the embedding signal to obtain a basis matrix and an activation matrix, including obtaining a sparse optimization of the embedding signal by minimizing a norm corresponding to the factored embedding signal. The method also includes generating a speaker log for the audio recording based on the sparse optimization of the embedding signal.

Abstract: A method includes retrieving a text from a database. The text corresponds to audio from a media content item that is provided by a media providing service, and the text includes a plurality of segments. The method also includes assigning a score for each segment in the text by applying the text to a trained computational model. The score corresponds to a predicted relevance of the respective segment to a narrative of the media content item. The method further includes identifying a non-narrative segment within the text using the assigned scores.

Abstract: An electronic device obtains a listening history for a media item, the listening history including retention information indicating, for each respective portion of a plurality of portions of the media item, a number of listeners who listened to the respective portion of the media item. The electronic device, using the retention information, determines a pattern indicating a reduction in the number of listeners who listened to corresponding portions of the media item and determines a start time and an end time corresponding to a first portion of the corresponding portions of the media item. In accordance with the determination that the first portion of the corresponding portions of the media item meets predefined sub-content criteria, the electronic device stores an indication that the first portion of the media item comprises first sub-content, different from primary content, embedded in the media item.

Abstract: An electronic device associated with a media-providing service obtains listening history for a media item. The listening history includes retention information that indicates a number of listeners who listened to the respective portion of the media item. Using the retention information, the electronic device generates a retention graph that represents the number of listeners who listened to corresponding portions of the media item as a function of time. The electronic device detects an extremum in the retention graph. The extremum corresponds to a reduction in the number of listeners who listened to the corresponding portions of the media item. The electronic device determines whether the extremum meets predefined criteria, and in accordance with the determination that the extremum meets the predefined criteria, the electronic device stores an indication that the portions of the media item corresponding to the extremum include sub-content embedded in the media item.

Abstract: A device having a detector includes a sensor package. The sensor package includes a light sensor, at least one filter located over the light sensor and at least one bond pad. The light sensor is formed on a semiconductor device that provides sensor information related to light incident upon the light sensor. A perimeter of each bond pad is covered by a protective layer forming a sidewall seal. The sensor package also includes a package that encases the light sensor, filter(s) and bond pad(s). Additionally, at least one package pin is communicatively coupled to the bond pad(s). The device also includes a functional circuit that is coupled to the sensor package and receives the sensor information from the light sensor. The device can be an ambient light sensor, camera, backlit mirror, handheld electronic device, filter device, light-to-digital output sensor, gain selection device, proximity sensor, or light-to-voltage non-linear converter.

Abstract: A method for opening a bond pad on a semiconductor device is provided. The method comprises removing a first layer to expose a first portion of the bond pad and forming a protective layer over the exposed first portion of the bond pad. The method further comprises performing subsequent processing of the semiconductor device and removing the protective layer to expose a second portion of the bond pad.

Abstract: A device having a detector includes a sensor package. The sensor package includes a light sensor, at least one filter located over the light sensor and at least one bond pad. The light sensor is formed on a semiconductor device that provides sensor information related to light incident upon the light sensor. A perimeter of each bond pad is covered by a protective layer forming a sidewall seal. The sensor package also includes a package that encases the light sensor, filter(s) and bond pad(s). Additionally, at least one package pin is communicatively coupled to the bond pad(s). The device also includes a functional circuit that is coupled to the sensor package and receives the sensor information from the light sensor. The device can be an ambient light sensor, camera, backlit mirror, handheld electronic device, filter device, light-to-digital output sensor, gain selection device, proximity sensor, or light-to-voltage non-linear converter.

Abstract: A method for opening a bond pad on a semiconductor device is provided. The method comprises removing a first layer to expose a first portion of the bond pad and forming a protective layer over the exposed first portion of the bond pad. The method further comprises performing subsequent processing of the semiconductor device and removing the protective layer to expose a second portion of the bond pad.

Abstract: A pet carrier which may be stably held within the interior of a vehicle. The carrier includes two hangers separated by one or more reinforcement members, a pet bin member into which a pet may be placed, and a support member. In a preferred use of the carrier, one of the hangers is placeable over the top and back of one seat of a vehicle, such as the driver's seat of the vehicle, and the other hanger is placeable over the top and back of another vehicle seat, such as the front passenger seat of the vehicle, and the support member is contactable with a surface of the vehicle, such as its floor, to stabilize the carrier. The distance between the hangers is selectable to allow the carrier to be stably placed upon seats of varying separation.