Abstract: Systems and methods for mapping parts in a digital sheet music file for a harmony. The method may include receiving a selection of a music segment for part mapping, receiving a digital sheet music representation of the selected music segment, and determining a plurality of plausible part mapping for the digital sheet music representation. A part mapping identifies one or more distinct musical parts in the digital sheet music representation, each of said one or more distinct musical parts corresponding to a performer of the harmony. The method may also include analyzing one or more features of the plurality of plausible part mapping to identify a highest probability part mapping based on previously stored information, and outputting the highest probability part mapping.

Abstract: Method of teaching a vocal harmony involves a computing device which automatically generates a plurality of audio presentations of a musical composition in a predetermined series. Each audio presentation in the series is different from the other audio presentations in the series and is configured to assist the user in progressively learning the selected vocal harmony part. Each of the plurality of audio presentations in the predetermined series is made different from others of the audio presentation in the predetermined series by selectively controlling (1) the particular ones of the plurality of vocal harmony parts that are included in each of the audio presentations, and/or (2) a magnitude of an audio volume that is applied to each of the plurality of vocal harmony parts that is included in each of the audio presentations.

Abstract: Systems and methods for mapping parts in a digital sheet music file for a harmony. The method may include receiving a selection of a music segment for part mapping, receiving a digital sheet music representation of the selected music segment, and determining a plurality of plausible part mapping for the digital sheet music representation. A part mapping identifies one or more distinct musical parts in the digital sheet music representation, each of said one or more distinct musical parts corresponding to a performer of the harmony. The method may also include analyzing one or more features of the plurality of plausible part mapping to identify a highest probability part mapping based on previously stored information, and outputting the highest probability part mapping.

Abstract: Systems and methods for mapping parts in a digital sheet music file for a harmony. The method may include receiving a selection of a music segment for part mapping, receiving a digital sheet music representation of the selected music segment, and determining a plurality of plausible part mapping for the digital sheet music representation. A part mapping identifies one or more distinct musical parts in the digital sheet music representation, each of said one or more distinct musical parts corresponding to a performer of the harmony. The method may also include analyzing one or more features of the plurality of plausible part mapping to identify a highest probability part mapping based on previously stored information, and outputting the highest probability part mapping.

Abstract: The present application provides a priming member for an inhaler and a method of loading an inhaler with a carrier for treating a respiratory disease by inhaling a powder from the inhaler. The priming member comprises a cantilever blade configured to engage a chassis of the inhaler, the cantilever blade having a proximal portion, a body and a distal portion, the body being disposed between the proximal portion and the distal portion of the cantilever blade and the cantilever blade having a flexible portion extending with the proximal portion of the cantilever blade to allow movement of the cantilever blade relative to the chassis.

Abstract: Collaboratively creating musical harmonies includes receiving a user selection of a particular harmony. In response to this selection, there is displayed on a display screen of a computing device a plurality of musical note indicators or notes to specify a first harmony part of a musical piece to be performed. Real-time pitch detection is used to determine a pitch of each note which is voiced by a person, and a graphic indication of the actual pitch which is sung is displayed in conjunction with the musical note indicators.

Abstract: Systems and methods for mapping parts in a digital sheet music file for a harmony. The method may include receiving a selection of a music segment for part mapping, receiving a digital sheet music representation of the selected music segment, and determining a plurality of plausible part mapping for the digital sheet music representation. A part mapping identifies one or more distinct musical parts in the digital sheet music representation, each of said one or more distinct musical parts corresponding to a performer of the harmony. The method may also include analyzing one or more features of the plurality of plausible part mapping to identify a highest probability part mapping based on previously stored information, and outputting the highest probability part mapping.

Abstract: Method of teaching a vocal harmony involves a computing device which automatically generates a plurality of audio presentations of a musical composition in a predetermined series. Each audio presentation in the series is different from the other audio presentations in the series and is configured to assist the user in progressively learning the selected vocal harmony part. Each of the plurality of audio presentations in the predetermined series is made different from others of the audio presentation in the predetermined series by selectively controlling (1) the particular ones of the plurality of vocal harmony parts that are included in each of the audio presentations, and/or (2) a magnitude of an audio volume that is applied to each of the plurality of vocal harmony parts that is included in each of the audio presentations.

Abstract: Real-time pitch detection of voiced musical notes involves converting sound waves, produced by a voiced rendition of one or more musical notes, to a time domain electronic audio signal. The electronic audio signal is processed to determine a true pitch of the time domain electronic audio signal. True pitch information is displayed in real-time, concurrent with the voiced rendition of each musical note. A pitch indicator conveys to a user information concerning the true pitch which has been determined. The true pitch is determined by segmenting the electronic audio signal into a plurality of audio signal samples and applying a constant-Q transform. Additional processing steps are applied to reduce pitch detection errors.

Abstract: Collaboratively creating musical harmonies includes receiving a user selection of a particular harmony. In response to this selection, there is displayed on a display screen of a computing device a plurality of musical note indicators or notes to specify a first harmony part of a musical piece to be performed. Real-time pitch detection is used to determine a pitch of each note which is voiced by a person, and a graphic indication of the actual pitch which is sung is displayed in conjunction with the musical note indicators.

Abstract: Collaboratively creating musical harmonies includes receiving a user selection of a particular harmony. In response to this selection, there is displayed on a display screen of a computing device a plurality of musical note indicators or notes to specify a first harmony part of a musical piece to be performed. Real-time pitch detection is used to determine a pitch of each note which is voiced by a person, and a graphic indication of the actual pitch which is sung is displayed in conjunction with the musical note indicators.

Abstract: Method for transcription of voiced musical note includes segmenting an electronic audio signal into a plurality of musical note segments, and sampling each note segment to obtain a plurality of audio samples. For each audio sample, an autocorrelation is computed to determine a probability value associated with certain audio frequencies contained within the audio sample. Local maxima are identified in the energy associated with one or more audio frequencies comprising each audio sample and a corrective function applied to reduce the occurrence of octave errors. A true pitch of each note segment is then determined by converting the pitch identification problem to one involving a shortest path through a graph or network of node. Edge weights are computed for a plurality of adjacent nodes i, j comprising the graph, where each node represents one of the musical note segments.

Abstract: Real-time pitch detection of voiced musical notes involves converting sound waves, produced by a voiced rendition of one or more musical notes, to a time domain electronic audio signal. The electronic audio signal is processed to determine a true pitch of the time domain electronic audio signal. True pitch information is displayed in real-time, concurrent with the voiced rendition of each musical note. A pitch indicator conveys to a user information concerning the true pitch which has been determined. The true pitch is determined by segmenting the electronic audio signal into a plurality of audio signal samples and applying a constant-Q transform. Additional processing steps are applied to reduce pitch detection errors.

Abstract: Method for transcription of voiced musical note includes segmenting an electronic audio signal into a plurality of musical note segments, and sampling each note segment to obtain a plurality of audio samples. For each audio sample, an autocorrelation is computed to determine a probability value associated with certain audio frequencies contained within the audio sample. Local maxima are identified in the energy associated with one or more audio frequencies comprising each audio sample and a corrective function applied to reduce the occurrence of octave errors. A true pitch of each note segment is then determined by converting the pitch identification problem to one involving a shortest path through a graph or network of node. Edge weights are computed for a plurality of adjacent nodes i, j comprising the graph, where each node represents one of the musical note segments.

Abstract: Collaboratively creating musical harmonies includes receiving a user selection of a particular harmony. In response to this selection, there is displayed on a display screen of a computing device a plurality of musical note indicators or notes to specify a first harmony part of a musical piece to be performed. Real-time pitch detection is used to determine a pitch of each note which is voiced by a person, and a graphic indication of the actual pitch which is sung is displayed in conjunction with the musical note indicators.

Abstract: A method for determining the similarity between two or more image sequences, and the application of that method to determining the temporal location of periodic or semi-periodic motion in a sequence of images or video.

Abstract: A set of two-dimensional layers is determined based on a digital three-dimensional model. An image corresponding to each of the layers is rendered on each of a corresponding number of sheets of at least partially transparent material. The sheets of material are assembled together to produce a three-dimensional structure corresponding to the digital model.

Abstract: A set of two-dimensional layers is determined based on a digital three-dimensional model. An image corresponding to each of the layers is rendered on each of a corresponding number of sheets of at least partially transparent material. The sheets of material are assembled together to produce a three-dimensional structure corresponding to the digital model.

Abstract: A set of two-dimensional layers is determined based on a digital three-dimensional model. An image corresponding to each of the layers is rendered on each of a corresponding number of sheets of at least partially transparent material. The sheets of material are assembled together to produce a three-dimensional structure corresponding to the digital model.

Abstract: A set of two-dimensional layers is determined based on a digital three-dimensional model. An image corresponding to each of the layers is rendered on each of a corresponding number of sheets of at least partially transparent material. The sheets of material are assembled together to produce a three-dimensional structure corresponding to the digital model.