Abstract: The invention relates to a method for operating an electric drive system of a motor vehicle (2) with a backup battery (2.8) and a fuel cell (2.6) for providing electric drive power. Here, route data is determined and then, based on this route data, consumption data is forecast. The invention is characterized in that, in order to optimize the operation of the fuel cell (2.6) based on the forecast consumption data, a total energy demand for the route is forecast, after which a mean fuel cell power is determined which is required together with the energy stored at the starting time of the route in the backup battery (2.8) to determine the total energy demand over a constant power trajectory for the fuel cell (2.6). This is followed by a check as to whether limit values of the backup battery (2.8) are violated when driving along the route with the power trajectory: if no limit value is violated, the fuel cell (2.

Abstract: Techniques are provided for implementing multi-track audio analysis. In some instances, a plurality of audio tracks are received and combined into a single audio file. A collection of audio file characteristics are extracted from the single audio file. In some examples, the collection of audio file characteristics are associated with of the plurality of audio tracks and the single audio file. Audio characteristic edits are received for revising the collection of audio file characteristics. Metadata associated with each of the plurality of audio tracks and for the single audio file are updated based at least in part on the audio characteristic edits.

Abstract: Techniques are provided for implementing multi-track audio analysis. In some instances, a plurality of audio tracks are received and combined into a single audio file. A collection of audio file characteristics are extracted from the single audio file. In some examples, the collection of audio file characteristics are associated with of the plurality of audio tracks and the single audio file. Audio characteristic edits are received for revising the collection of audio file characteristics. Metadata associated with each of the plurality of audio tracks and for the single audio file are updated based at least in part on the audio characteristic edits.

Abstract: A method for automatically starting an audio recording that includes receiving audio data and dividing the audio data into a first set of consecutive segments and a second set of consecutive segments that occur after the first set. The method further includes analyzing the first set of segments by measuring an average energy and peak value for each segment of the first set and determining a silence score therefrom, and analyzing the second set of segments by measuring an average energy and peak value for each segment of the second set and determining an music score therefrom. The method begins a recording of the audio data if the silence score is above a first predetermined value and the music score is above a second predetermined value.

Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.

Abstract: A method for automatically starting an audio recording that includes receiving audio data and dividing the audio data into a first set of consecutive segments and a second set of consecutive segments that occur after the first set. The method further includes analyzing the first set of segments by measuring an average energy and peak value for each segment of the first set and determining a silence score therefrom, and analyzing the second set of segments by measuring an average energy and peak value for each segment of the second set and determining an music score therefrom. The method begins a recording of the audio data if the silence score is above a first predetermined value and the music score is above a second predetermined value.

Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.

Abstract: Processor-implemented methods and systems for visually-assisted mixing of audio using a spectral analyzer are disclosed. The system calculates and displays a spectral view for each track in an arrangement in a multi-track view. A user can then request modification of the spectral view. In response to this request for modification, the system automatically adjusts associated mixing parameters for the modified track so that the spectral output of the track substantially matches the user-requested modified spectral view. This allows a user to visually mix an arrangement by imputing a desired spectral result and having the program make the changes necessary to achieve it.

Abstract: Processor-implemented methods and systems for visually-assisted mixing of audio using a spectral analyzer are disclosed. The system calculates and displays a spectral view for each track in an arrangement in a multi-track view. A user can then request modification of the spectral view. In response to this request for modification, the system automatically adjusts associated mixing parameters for the modified track so that the spectral output of the track substantially matches the user-requested modified spectral view. This allows a user to visually mix an arrangement by imputing a desired spectral result and having the program make the changes necessary to achieve it.

Abstract: Processor-implemented methods and systems for visually-assisted mixing of audio using a spectral analyzer are disclosed. The system calculates and displays a spectral view for each track in an arrangement in a multi-track view. A user can then request modification of the spectral view. In response to this request for modification, the system automatically adjusts associated mixing parameters for the modified track so that the spectral output of the track substantially matches the user-requested modified spectral view. This allows a user to visually mix an arrangement by imputing a desired spectral result and having the program make the changes necessary to achieve it.

Abstract: Processor-implemented methods and systems for polyphonic note detection are disclosed. The method includes converting a portion of a polyphonic audio signal from a time domain to a frequency domain. The method includes detecting a fundamental frequency peak in the frequency domain. The method then detects a defined number of integer-interval harmonic partials. If a defined number of integer-interval harmonic partials relative to the fundamental frequency peak are detected the fundamental frequency is recorded as a detected note. This process is repeated for each fundamental frequency until each note in the polyphonic audio signal has been detected. For example, this method allows detection of each note in a strummed guitar chord to provide feedback on the tuning of each string in a strummed chord or allows detection and feedback of the timing and pitch errors for guitar chords played along with a reference track.

Abstract: A processor implements methods, systems, and computer program products for detecting transients in an audio file. The method includes dividing the audio file into segments. Transients can be detected both in a full band signal of the audio file and one or more band-pass filtered signals of the audio file. A weight value can be assigned to each transient detected in both the full band signal and band-pass filtered signals. Transients that are below a predetermined threshold value can be eliminated. The time position of each remaining transient is determined and displayed in the audio file.

Abstract: The disclosed technology provides for determining whether an audio stream is monophonic or polyphonic. An exemplary method includes analyzing and detecting frequency peaks in a portion of the audio stream. The method includes determining whether the portion of the audio stream is monophonic, by determining if all detected peaks are integer intervals of a lowest detected frequency peak. The method then includes determining that the audio stream portion is monophonic if a greatest common devisor frequency exists between a threshold frequency and the lowest detected frequency peak, wherein each detected peak is an integer multiple of the greatest common devisor frequency. The method includes determining that the portion of the audio stream is polyphonic if any one of the detected peaks is not substantially an integer multiple of the lowest detected frequency and if no greatest common devisor frequency exists between the threshold frequency and the lowest detected frequency peak.

Abstract: Processor-implemented methods and systems for polyphonic note detection are disclosed. The method includes converting a portion of a polyphonic audio signal from a time domain to a frequency domain. The method includes detecting a fundamental frequency peak in the frequency domain. The method then detects a defined number of integer-interval harmonic partials. If a defined number of integer-interval harmonic partials relative to the fundamental frequency peak are detected the fundamental frequency is recorded as a detected note. This process is repeated for each fundamental frequency until each note in the polyphonic audio signal has been detected. For example, this method allows detection of each note in a strummed guitar chord to provide feedback on the tuning of each string in a strummed chord or allows detection and feedback of the timing and pitch errors for guitar chords played along with a reference track.