Yamaha Corporation

Dan Sasai

Motoichi Tamura

Takuya Fujishima

Norihiro Uemura

An audio analysis device comprises an electronic controller including at least one processor. The electronic controller is configured to execute a plurality of modules including a signal acquisition module configured to acquire an audio signal representing performance sounds of a musical piece, a signal analysis module configured to calculate, for each of a plurality of music categories, a feature value that includes a degree of certainty that the musical piece belongs to the music category, by analyzing the audio signal, and a music selection module configured to select one or more candidate musical pieces whose feature value is similar to the feature value calculated for the musical piece from among a plurality of candidate musical pieces.

Audio analysis method, audio analysis device and non-transitory computer-readable medium

An update method includes acquiring a list of plural pieces of content selected from a library including plural pieces of content, selecting, from the list, first content to be deleted from the list, selecting, from the library, second content to be interchanged with the first content based on details of the list, and interchanging the first content with the second content in the list.

Update method and update apparatus

A sound signal processing method according to an embodiment includes a step of acquiring an input sound signal, a step of acquiring a beat number per unit time period from the input sound signal, a step of normalizing the input sound signal with the beat number per unit time period, a step of calculating a beat spectrum of the normalized input sound signal, and a step of calculating a rhythm similarity between the beat spectrum of the normalized input sound signal and a normalized beat spectrum calculated from a reference sound signal.

Sound signal processing method and sound signal processing apparatus

When a music audio to be analyzed is to be divided into a plurality of possible pattern segments based on estimated beat positions, it is divided in a plurality of different ways according to individual division models obtained by sequentially shifting the leading or first beat position of the possible pattern segments. Such division can provide plural sets of possible pattern segments with each of the sets corresponding to one of the division models. For each of the sets, comparison is made between individual possible pattern segments and individual reference performance patterns. For each of the possible pattern segments of the set, at least one reference performance pattern that matches the possible pattern segment is determined. Then, at least one combination of reference performance patterns is identified for each of the sets of possible pattern segments. One optimal combination is selected from among the identified combinations.

Technique for analyzing rhythm structure of music audio data

The method analyzes, on the basis of the musical score image data, an image note sequence that is a time series of a plurality of notes included in the image of a musical score of a given music piece, acquires, on the basis of a logical musical score data, a logical note sequence that is a time series of a plurality of notes included in the musical score of the given music piece, and then identifies correspondence relationship between the individual notes in the image note sequence and the individual notes in the logical note sequence by comparing the image note sequence and the logical note sequence. Further, the method displays the musical score image of the given music piece on the basis of the musical score image data, and controls a display state of the displayed image of the musical score by use of the identified correspondence relationship.

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Shizuoka, Japan

Dan Sasai