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.

An information processing device is provided. The information processing device includes an output control unit that controls output of a spoken utterance related to information presentation. The output control unit outputs the spoken utterance, and visually displays an output position of an important part of the spoken utterance. In addition, an information processing method is provided. The information processing method includes controlling, by a processor, output of a spoken utterance related to information presentation. The controlling further includes outputting the spoken utterance and visually displaying an output position of an important part of the spoken utterance.

A voice retrieval apparatus includes a display, a memory, and a processor executing a voice recording process of storing recorded voices in the memory, an accepting process of accepting a retrieval term, a retrieval process of retrieving, from the recorded voices, a candidate segment where an utterance of the accepted retrieval term is estimated, a replay process of replaying voices in the candidate segment retrieved in the retrieval process, and a display control process of adding a marking to display information indicating a transition of the recorded voices in time based on the replay result of the voices in the candidate segment in the replay process, and displaying the display information with the marking on the display, the marking specifying an utterance location of the voices in the candidate segment.

A voice retrieval apparatus includes a display, a memory, and a processor executing a voice recording process of storing recorded voices in the memory, an accepting process of accepting a retrieval term, a retrieval process of retrieving, from the recorded voices, a candidate segment where an utterance of the accepted retrieval term is estimated, a replay process of replaying voices in the candidate segment retrieved in the retrieval process, and a display control process of adding a marking to display information indicating a transition of the recorded voices in time based on the replay result of the voices in the candidate segment in the replay process, and displaying the display information with the marking on the display, the marking specifying an utterance location of the voices in the candidate segment.

The present invention reduces the work cost. An information processing device includes an input-signal acquisition section that acquires an input signal, a calculation section that calculates a feature included in the input signal, and a display control section that converts the feature included in the input signal into a visual feature and causes the visual feature to be displayed. The present technology is applicable to an information processing device.

A method and system are provided for extracting features from digital audio signals which exhibit variations in pitch, timbre, decay, reverberation, and other psychoacoustic attributes and learning, from the extracted features, an artificial neural network model for generating contextual latent-space representations of digital audio signals. A method and system are also provided for learning an artificial neural network model for generating consistent latent-space representations of digital audio signals in which the generated latent-space representations are comparable for the purposes of determining psychoacoustic similarity between digital audio signals. A method and system are also provided for extracting features from digital audio signals and learning, from the extracted features, an artificial neural network model for generating latent-space representations of digital audio signals which take care of selecting salient attributes of the signals that represent psychoacoustic differences between the signals.

A method and system are provided for extracting features from digital audio signals which exhibit variations in pitch, timbre, decay, reverberation, and other psychoacoustic attributes and learning, from the extracted features, an artificial neural network model for generating contextual latent-space representations of digital audio signals. A method and system are also provided for learning an artificial neural network model for generating consistent latent-space representations of digital audio signals in which the generated latent-space representations are comparable for the purposes of determining psychoacoustic similarity between digital audio signals. A method and system are also provided for extracting features from digital audio signals and learning, from the extracted features, an artificial neural network model for generating latent-space representations of digital audio signals which take care of selecting salient attributes of the signals that represent psychoacoustic differences between the signals.

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 call visualization in the form of audio data from a telephone call displayed as a waveform on a call timeline. The call may be (automatically or manually) annotated with various business-value-specific keywords spoken during the telephone call, and markers for these keywords can be presented on the call timeline to visually indicate the keyword and the time during the call when the keyword was spoken. A business value for the call may be determined based at least in part on keywords spoken during the call.

According to one embodiment, a speech imagery recognition device is configured to recognize speech from electroencephalogram (EEG) signals during speech imagery. The speech imagery recognition device comprises an analysis processor and an extractor. The analysis processor is configured to analyze discrete signals, which are obtained from EEG signals received from a plurality of electrodes, for each of the electrodes and output a spectral time sequence. The extractor is configured to obtain eigenvectors for each phoneme from the spectral time sequence and output a phoneme-feature vector time sequence based on the eigenvectors.