Abstract: A dataset representing repeated sounds within a musical composition recorded on an audio track may be constructed. An audio track duration of an audio track may be partitioned into partitions of a partition size. A current partition may be compared to remaining partitions of the audio track. Audio information for the current partition may be correlated to audio information for remaining partitions to determine a correlated partition for the current partition from among the remaining partitions of the track duration. The correlated partition determined may be identified as most likely to represent the same sound as the current partition. This comparison process may be performed iteratively, for individual ones of the remaining partitions. Correlation results of the comparison process may be recorded to represent the partition time period of the correlated partition as a function of partition time period of the current partition.

Abstract: Multiple audio files may be synchronized using energy vectors produced from energy portions of individual frequency energy representations. Individual energy samples and time values of individual energy vectors may be compared using a multi-resolution framework to correlate energy samples and time values of multiple audio tracks to one another.

Abstract: Multiple audio files may be synchronized using harmonic sound included in audio content obtained from audio tracks. Individual audio tracks are partitioned into multiple temporal windows of a first and second temporal window length. Individual audio waveforms for individual temporal windows of the first and second window length are transformed into frequency space in which energy is represented as a function of frequency. Individual pitches and magnitudes of harmonic sound determined for individual temporal windows may be compared using a multi-resolution framework to correlate pitches and harmonic energy of multiple audio tracks to one another.

Abstract: A derivative track for an audio track may be generated. An audio track duration of the audio track may be partitioned into partitions of a partition size. A current partition may be compared to remaining partitions of the audio track. Audio information for the current partition may be correlated to audio information for remaining partitions to determine a correlated partition for the current partition from among the remaining partitions of the track duration. The correlated partition determined may be identified as most likely to represent the same sound as the current partition. This comparison process may be performed iteratively for individual ones of the remaining partitions. One or more regions of the audio track may be identified. Individual regions may include multiple correlated partitions that are temporally adjacent along the audio track duration. One or more partitions within one or more regions may be removed to generate the derivative track.

Abstract: Multiple audio files may be synchronized using energy vectors produced from energy portions of individual frequency energy representations. Individual energy samples and time values of individual energy vectors may be compared using a multi-resolution framework to correlate energy samples and time values of multiple audio tracks to one another.

Abstract: Multiple audio files may be synchronized using energy vectors produced from energy portions of individual frequency energy representations. Individual energy samples and time values of individual energy vectors may be compared using a multi-resolution framework to correlate energy samples and time values of multiple audio tracks to one another.

Abstract: A dataset representing repeated sounds within a musical composition recorded on an audio track may be constructed. An audio track duration of an audio track may be partitioned into partitions of a partition size. A current partition may be compared to remaining partitions of the audio track. Audio information for the current partition may be correlated to audio information for remaining partitions to determine a correlated partition for the current partition from among the remaining partitions of the track duration. The correlated partition determined may be identified as most likely to represent the same sound as the current partition. This comparison process may be performed iteratively, for individual ones of the remaining partitions. Correlation results of the comparison process may be recorded to represent the partition time period of the correlated partition as a function of partition time period of the current partition.

Abstract: Multiple audio files may be synchronized using harmonic sound included in audio content obtained from audio tracks. Individual audio tracks are partitioned into multiple temporal windows of a first and second temporal window length. Individual audio waveforms for individual temporal windows of the first and second window length are transformed into frequency space in which energy is represented as a function of frequency. Individual pitches and magnitudes of harmonic sound determined for individual temporal windows may be compared using a multi-resolution framework to correlate pitches and harmonic energy of multiple audio tracks to one another.