Abstract: This composite material blade, which is formed using a composite material including reinforcing fibers and resin, and which has a positive pressure surface and a negative pressure surface, is provided with a ventral part, being the part on the positive pressure surface side in a blade thickness direction, which is the direction joining the positive pressure surface and the negative pressure surface, a dorsal part, being the part on the negative pressure surface side in the blade thickness direction, and a metal shield portion which is provided on the leading edge side, being the upstream side in a flow direction in which a fluid flows, wherein: the metal shield portion includes a main body portion provided on the leading edge side, and an embedded portion which is provided on the trailing edge side, being the downstream side in the flow direction, of the main body portion, and which is provided between the ventral part and the dorsal part; and the plate thickness of the metal shield portion in the blade thick

Abstract: Automated drive system comprises a control device. The control device executes run control processing of the automated drive vehicle provided to a driverless transportation service. The run control processing includes carriage porch control processing. The carriage porch control processing is performed when a PUDO position of a user corresponds to a carriage porch of a facility including a zone for run and a zone for PUDO. In the carriage porch control processing, it is judged whether or not there is an empty space in the zone for PUDO. If it is judged that there is no empty space, it is judged whether or not a quick PUDO of the user in the carriage porch is expected. If it is judged that the quick PUDO is expected, a target PUDO position to perform a PUDO action of the automated drive vehicle is set to any position in the zone for run.

Abstract: A training apparatus includes an autoregressive model configured to estimate a current signal from a past signal sequence and a current context label, a vocal tract feature analyzer configured to analyze an input speech signal to determine a vocal tract filter coefficient representing a vocal tract feature, a residual signal generator configured to output a residual signal, a quantization unit configured to quantize the residual signal output from the residual signal generator to generate a quantized residual signal, and a training controller configured to provide as a condition, a context label of an already known input text for the input speech signal corresponding to the already known input text to the autoregressive model and to train the autoregressive model by bringing a past sequence of the quantized residual signals for the input speech signal and the current context label into correspondence with a current signal of the quantized residual signal.

Abstract: A training apparatus includes an autoregressive model configured to estimate a current signal from a past signal sequence and a current context label, a vocal tract feature analyzer configured to analyze an input speech signal to determine a vocal tract filter coefficient representing a vocal tract feature, a residual signal generator configured to output a residual signal, a quantization unit configured to quantize the residual signal output from the residual signal generator to generate a quantized residual signal, and a training controller configured to provide as a condition, a context label of an already known input text for the input speech signal corresponding to the already known input text to the autoregressive model and to train the autoregressive model by bringing a past sequence of the quantized residual signals for the input speech signal and the current context label into correspondence with a current signal of the quantized residual signal.

Abstract: According to an embodiment, a device includes a table creator, an estimator, and a dictionary creator. The table creator is configured to create a table based on similarity between distributions of nodes of speech synthesis dictionaries of a specific speaker in respective first and second languages. The estimator is configured to estimate a matrix to transform the speech synthesis dictionary of the specific speaker in the first language to a speech synthesis dictionary of a target speaker in the first language, based on speech and a recorded text of the target speaker in the first language and the speech synthesis dictionary of the specific speaker in the first language. The dictionary creator is configured to create a speech synthesis dictionary of the target speaker in the second language, based on the table, the matrix, and the speech synthesis dictionary of the specific speaker in the second language.

Abstract: Provided is an audio data processing system that performs processing at high speed and obtains high-quality audio data in audio data processing using a raw audio generative model. An audio data learning apparatus of the audio data learning processing system divides full band waveform data into subband signals and performs model-learning (optimization) using the divided subband signal by a subband learning model unit. In an audio data inference apparatus, a subband learned model unit receiving at least one of an auxiliary input and subband signals performs inference processing in parallel, and a subband synthesis unit synthesizes subband signals after processing. This allows the audio data processing system to perform audio data processing using the raw audio generative at high speed.

Abstract: According to an embodiment, a speech synthesizer includes a source generator, a phase modulator, and a vocal tract filter unit. The source generator generates a source signal by using a fundamental frequency sequence and a pulse signal. The phase modulator modulates, with respect to the source signal generated by the source generator, a phase of the pulse signal at each pitch mark based on audio watermarking information. The vocal tract filter unit generates a speech signal by using a spectrum parameter sequence with respect to the source signal in which the phase of the pulse signal is modulated by the phase modulator.

Abstract: According to one embodiment, a speech synthesis apparatus is provided with generation, normalization, interpolation and synthesis units. The generation unit generates a first parameter using a prosodic control dictionary of a target speaker and one or more second parameters using a prosodic control dictionary of one or more standard speakers based on language information for an input text. The normalization unit normalizes the one or more second parameters based a normalization parameter. The interpolation unit interpolates the first parameter and the one or more normalized second parameters based on weight information to generate a third parameter and the synthesis unit generates synthesized speech using the third parameter.

Abstract: According to an embodiment, a speech synthesizer includes a source generator, a phase modulator, and a vocal tract filter unit. The source generator generates a source signal by using a fundamental frequency sequence and a pulse signal. The phase modulator modulates, with respect to the source signal generated by the source generator, a phase of the pulse signal at each pitch mark based on audio watermarking information. The vocal tract filter unit generates a speech signal by using a spectrum parameter sequence with respect to the source signal in which the phase of the pulse signal is modulated by the phase modulator.

Abstract: According to an embodiment, a speech synthesizer includes a source generator, a phase modulator, and a vocal tract filter unit. The source generator generates a source signal by using a fundamental frequency sequence and a pulse signal. The phase modulator modulates, with respect to the source signal generated by the source generator, a phase of the pulse signal at each pitch mark based on audio watermarking information. The vocal tract filter unit generates a speech signal by using a spectrum parameter sequence with respect to the source signal in which the phase of the pulse signal is modulated by the phase modulator.

Abstract: According to an embodiment, a speech synthesis dictionary creating device includes a first speech input unit, a second speech input unit, a determining unit, and a creating unit. The first speech input unit receives input of first speech data. The second speech input unit receives input of second speech data which is considered to be appropriate speech data. The determining unit determines whether or not a speaker of the first speech data is the same as a speaker of the second speech data. When the determining unit determines that the speaker of the first speech data is the same as the speaker of the second speech data, the creating unit creates a speech synthesis dictionary using the first speech data and using a text corresponding to the first speech data.

Abstract: According to an embodiment, a digital watermark detecting device includes a residual signal extractor, a voiced period estimator, a storage, a phase estimator, and a watermark determiner. The residual signal extractor is configured to extract a residual signal from a speech signal. The voiced period estimator is configured to estimate a voiced period based on the speech signal. The storage is configured to store pulse signals modulated in advance so as to have different phases. The phase estimator is configured to clip the voiced period in units of an analysis frame having a predetermined length, and perform pattern matching between the residual signal in the analysis frame and the pulse signals to estimate phase of the speech signal. The watermark determiner is configured to, based on a sequence of phases estimated by the phase estimator, determine whether a digital watermark is embedded in the speech signal or not.

Abstract: According to an embodiment, a digital watermark detecting device includes a residual signal extractor, a voiced period estimator, a storage, a phase estimator, and a watermark determiner. The residual signal extractor is configured to extract a residual signal from a speech signal. The voiced period estimator is configured to estimate a voiced period based on the speech signal. The storage is configured to store pulse signals modulated in advance so as to have different phases. The phase estimator is configured to clip the voiced period in units of an analysis frame having a predetermined length, and perform pattern matching between the residual signal in the analysis frame and the pulse signals to estimate phase of the speech signal. The watermark determiner is configured to, based on a sequence of phases estimated by the phase estimator, determine whether a digital watermark is embedded in the speech signal or not.

Abstract: According to an embodiment, a speech synthesis dictionary creating device includes a first speech input unit, a second speech input unit, a determining unit, and a creating unit. The first speech input unit receives input of first speech data. The second speech input unit receives input of second speech data which is considered to be appropriate speech data. The determining unit determines whether or not a speaker of the first speech data is the same as a speaker of the second speech data. When the determining unit determines that the speaker of the first speech data is the same as the speaker of the second speech data, the creating unit creates a speech synthesis dictionary using the first speech data and using a text corresponding to the first speech data.

Abstract: According to one embodiment, an apparatus for supporting reading of a document includes a model storage unit, a document acquisition unit, a feature information extraction, and an utterance style estimation unit. The model storage unit is configured to store a model which has trained a correspondence relationship between first feature information and an utterance style. The first feature information is extracted from a plurality of sentences in a training document. The document acquisition unit is configured to acquire a document to be read. The feature information extraction unit is configured to extract second feature information from each sentence in the document to be read. The utterance style estimation unit is configured to compare the second feature information of a plurality of sentences in the document to be read with the model, and to estimate an utterance style of the each sentence of the document to be read.

Abstract: According to an embodiment, a device includes a table creator, an estimator, and a dictionary creator. The table creator is configured to create a table based on similarity between distributions of nodes of speech synthesis dictionaries of a specific speaker in respective first and second languages. The estimator is configured to estimate a matrix to transform the speech synthesis dictionary of the specific speaker in the first language to a speech synthesis dictionary of a target speaker in the first language, based on speech and a recorded text of the target speaker in the first language and the speech synthesis dictionary of the specific speaker in the first language. The dictionary creator is configured to create a speech synthesis dictionary of the target speaker in the second language, based on the table, the matrix, and the speech synthesis dictionary of the specific speaker in the second language.

Abstract: According to an embodiment, a speech synthesizer includes a source generator, a phase modulator, and a vocal tract filter unit. The source generator generates a source signal by using a fundamental frequency sequence and a pulse signal. The phase modulator modulates, with respect to the source signal generated by the source generator, a phase of the pulse signal at each pitch mark based on audio watermarking information. The vocal tract filter unit generates a speech signal by using a spectrum parameter sequence with respect to the source signal in which the phase of the pulse signal is modulated by the phase modulator.

Abstract: Apparatus for creating a dictionary for speech synthesis includes a sentence storage unit configured to store N sentences, a sentence display unit configured to selectively display a first sentence which is one of the N sentences, a recording unit configured to record each user speech, a necessity determination unit configured to make a determination of whether to create the dictionary, a dictionary creation unit configured to create the dictionary by utilizing the user speech, and a speech synthesis unit configured to convert a second sentence to a synthesized speech with the dictionary. The display unit is configured to stop displaying the currently displayed sentence according to an evaluation of a quality of its synthesis. The determination unit makes the determination under a condition that the recording unit records the user speech of M first sentences (M is less than N) and the determination is based on at least one of an instruction from the user, M and an amount of the recorded user speech.

Abstract: According to one embodiment, a speech synthesis apparatus is provided with generation, normalization, interpolation and synthesis units. The generation unit generates a first parameter using a prosodic control dictionary of a target speaker and one or more second parameters using a prosodic control dictionary of one or more standard speakers based on language information for an input text. The normalization unit normalizes the one or more second parameters based a normalization parameter. The interpolation unit interpolates the first parameter and the one or more normalized second parameters based on weight information to generate a third parameter and the synthesis unit generates synthesized speech using the third parameter.

Abstract: According to an embodiment, a text presentation apparatus presenting text for a speaker to read aloud for voice recording includes: a text storing unit for storing first text; a presenting unit for presenting the first text; a determination unit for determining whether or not the first text needs to be replaced, on the basis of a speaker's input for the first text presented; a preliminary text storing unit for storing preliminary text; a select unit configured to select, if it is determined that the first text needs to be replaced, second text to replace the first text from among the preliminary text, the selecting being performed on the basis of attribute information describing an attribute of the first text and on the basis of at least one of attribute information describing pronunciation of the first text and attribute information describing a stress type of the first text; and a control unit configured to control the presenting unit so that the presenting unit presents the second text.