Techniques are disclosed relating to automatically generate new music content based on image representations of audio files. A computer system generate image representations of audio files. The image representations may be generated, for example, based on data in the audio files and MIDI representations of the audio files. Audio files for combination may then be selected based on analysis of the image representations. For example, image-based machine learning algorithms may be implemented to assess the image representations and select music for combining.

A technique is described herein for transforming audio content into images. The technique may include: receiving the audio content from a source; converting the audio content into a temporal stream of audio features; and converting the stream of audio features into one or more images using one or more machine-trained models. The technique generates the image(s) based on recognition of: semantic information that conveys one or more semantic topics associated with the audio content; and sentiment information that conveys one or more sentiments associated with the audio content. The technique then generates an output presentation that includes the image(s), which it provides to one or more display devices for display thereat. The output presentation serves as a summary of salient semantic and sentiment-related characteristics of the audio content.

A technique is described herein for transforming audio content into images. The technique may include: receiving the audio content from a source; converting the audio content into a temporal stream of audio features; and converting the stream of audio features into one or more images using one or more machine-trained models. The technique generates the image(s) based on recognition of: semantic information that conveys one or more semantic topics associated with the audio content; and sentiment information that conveys one or more sentiments associated with the audio content. The technique then generates an output presentation that includes the image(s), which it provides to one or more display devices for display thereat. The output presentation serves as a summary of salient semantic and sentiment-related characteristics of the audio content.

The sections of the call unnecessary for reproduction are grasped without wasting time and labor. The call recording system includes a call information entry unit to enter operation information of call terminals which is acquired by a call control unit into a terminal operation information table; a recorded information entry unit to enter recorded information of the call which are acquired by a call recording unit into a recorded information table; and a call information reproduction unit to recognize sections unnecessary for reproduction of the recorded information based on the operation information of the call terminals so as to display a reproduction screen including a result on the recognized sections on a display section.

A data positioning method includes obtaining positional information indicating a position which is designated by operation of an operation unit in any region among a plurality of regions, each of the plurality of regions corresponding to a predetermined direction along which values of a series of pieces of data are varied and being provided for designating a position of the series of pieces of data in the predetermined direction, and the plurality of regions include at least one region for designating a plurality of discrete positions of the series of pieces of data in the predetermined direction. The method further includes determining the position for designating a portion of data corresponding to the obtained positional information, any one position being determined among the plurality of discrete positions when positional information indicating a position in the region for designating the discrete positions is obtained.

A data positioning method includes obtaining positional information indicating a position which is designated by operation of an operation unit in any region among a plurality of regions, each of the plurality of regions corresponding to a predetermined direction along which values of a series of pieces of data are varied and being provided for designating a position of the series of pieces of data in the predetermined direction, and the plurality of regions include at least one region for designating a plurality of discrete positions of the series of pieces of data in the predetermined direction. The method further includes determining the position for designating a portion of data corresponding to the obtained positional information, any one position being determined among the plurality of discrete positions when positional information indicating a position in the region for designating the discrete positions is obtained.

Merchant/consumer calls may be recorded and evaluated according to a variety of criteria. The call recordings and analyses thereof, as well as consumer tracking information, may be displayed in a user interface of a web-based online portal for convenience in evaluating the use and efficacy of marketing channels as well as the quality of merchant/consumer interactions. In an aspect, the user interface provides a representation of a variety of telephone calls as an interactive keyword cloud that presents business-value-specific keywords targeted for detection during such telephone calls. The keyword cloud may depict keywords in a range of colors, sizes, and relative positioning to connote varied degrees of significance, such as a relative rate of occurrence of keywords in the represented telephone calls. Each keyword in the keyword cloud may contain a hyperlink to related content such as a listing of telephone calls containing the keyword.

Merchant/consumer calls may be recorded and evaluated according to a variety of criteria. The call recordings and analyses thereof, as well as consumer tracking information, may be displayed in a user interface of a web-based online portal for convenience in evaluating the use and efficacy of marketing channels as well as the quality of merchant/consumer interactions. In an aspect, the user interface provides a representation of a variety of telephone calls as an interactive keyword cloud that presents business-value-specific keywords targeted for detection during such telephone calls. The keyword cloud may depict keywords in a range of colors, sizes, and relative positioning to connote varied degrees of significance, such as a relative rate of occurrence of keywords in the represented telephone calls. Each keyword in the keyword cloud may contain a hyperlink to related content such as a listing of telephone calls containing the keyword.

According to one embodiment, an electronic device records an audio signal, determines a plurality of user-specific utterance features within the audio signal, the plurality of user-specific utterance features including a first set of user specific-utterance features associated with the registered user and a second set of user-specific utterance features associated with the unregistered user, and displays the identifier of the registered user differently than an identifier of the unregistered user.

According to one embodiment, an electronic device records an audio signal, determines a plurality of user-specific utterance features within the audio signal, the plurality of user-specific utterance features including a first set of user specific-utterance features associated with the registered user and a second set of user-specific utterance features associated with the unregistered user, and displays the identifier of the registered user differently than an identifier of the unregistered user.