A music performance feedback tool is described herein that enables a musician to play freely and receive feedback in real-time. The tool tracks the musician as they progress through a piece and returns optimal feedback given an input sequence produced by the musician. The tool enables musicians to practice in a fashion that is most natural and pedagogically correct. The tool provides musicians with annotations indicating what notes in the score they failed to play, erroneously added notes, and the like. The tool further provides the musician with tempo and rhythmic feedback.

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.

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.

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.

A dynamic audio signal processing system for dynamically and continuously applying effects to an audio signal in real-time based on detected audio signal attributes. The dynamic audio signal processing system generally includes a signal processor including an input for receiving an audio signal, such as from an instrument. The signal processor may include an input analyzer adapted to detect one or more attributes of the audio signal continuously and in real-time. The signal processor may also include one or more signal conditioners in parallel with the input analyzer; each of the signal conditioners being adapted to dynamically apply one or more effects to the audio signal based on the one or more attributes detected by the input analyzer. The signal processor may include a selector for selecting which, if any, of the signal conditioners to apply effects to the audio signal based on detected attributes.

A dual sound source audio data processing method and apparatus are provided. The method includes obtaining audio data of a song pair including a first song and a second song, the first and second songs having a same accompaniment audio but different voice audio. The audio data is decoded to obtain first mono audio data corresponding to the first song and second mono audio data corresponding to the second song. The first and second mono audio data are combined to one piece of two-channel audio data including a left audio channel and a right audio channel. A play time of the two-channel audio data is divided into play periods, and energy suppression is selectively performed on the left audio channel and the right audio channel in different play periods.

An auditory augmentation system includes a database with a multiplicity of audio sections and associated metadata for digital audio files. Each audio section is mapped to a contextual theme, each contextual theme being mapped to an audio section having an entry point and an exit point. The entry and exit points support seamless splice or fade transitions between different audio sections. A processing system couples to the database along with an input; the input is in the form of temporally-varying events data that defines a temporal input. The processing system resolves the temporal input into one or more of a plurality of categorized contextual themes, correlates the categorized contextual themes with metadata associated with selected audio sections relevant to the one or more categorized contextual themes, and splices or fades together selected audio sections, and generates, as an output, a media product in which transitions between audio sections are seamless.

The disclosure provides a method, an apparatus, an electronic device, and a computer readable medium for displaying special effects and relates to the technical field of special effect display. The method includes: obtaining musical features of music played in a special effect display interface; and displaying special effects on the special effect display interface based on the musical features. In the embodiment of the present disclosure, by obtaining musical features of music, and displaying special effects generated based on the musical features on the special effect display interface, the change of the display of the special effects is associated to the musical features, the display of the special effect is more diverse, and the special effects is combined with the musical features, thereby increasing the user's immersive experience.

This is a method and installation in which a time-domain digital audio signal is split into a plurality of narrow-band time-domain digital audio signals confined to specific frequency bands, short-term segments of which are temporarily stored in memory. The method comprises the use of signal processing algorithms for extracting multiple signal features from said short-term segments in a fixed sequence or upon request from a decision-making algorithm. Said decision-making algorithm makes tentative or final decisions about the type of occupancy of frequency bands resulting from the extracted features. Said decision-making algorithm may request from said signal processing algorithms further specific feature extractions from specific short-term segments and make further tentative or final decisions about the type of occupancy of frequency bands resulting from the requested features. Next, said decision-making algorithm stores its tentative decisions and makes final decisions about band occupancy for processing together with results from later short-term segments. Eventually, said decision-making algorithm outputs final decisions derived from current and past short-segments in the form of a set of notes having been played over some recent time interval, together with information as to the timing of each note from the set.

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.