Abstract: A hearing assistance system is disclosed that comprises a hearing assistance device configured to reproduce sounds and to assist a person to hear the sounds, the hearing assistance device including a left hearing assistance device and a right hearing assistance device, and a computing device in communication with the hearing assistance device. The computing device interacts with the hearing assistance device to implement a fitting mode wherein the hearing assistance device is caused to generate fitting sounds usable to evaluate whether the left and right hearing devices are properly fitted into respective left and right ears of the person. The computing device produces a communication indicative of whether the left and right hearing assistance devices are properly fitted into respective left and right ears of the person.

Abstract: A system is disclosed for configuring a hearing device. The system includes an audiogram processing component arranged to process image data indicative of an image of an audiogram associated with a person so as to produce audiogram data indicative of the audiogram, and a hearing device configuration component arranged to produce hearing device configuration data based on the audiogram data. The configuration data is indicative of configuration settings for a hearing device that will cause the hearing device to assist the hearing of the person.

Abstract: During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

Abstract: A speech-processing system receives both text data and natural-understanding data (e.g., a domain, intent, and/or entity) related to a command represented in the text data. The system uses the natural-understanding data to vary vocal characteristics in determining spectrogram data corresponding to the text data based on the natural-understanding data.

Abstract: A speech model includes a sub-model corresponding to a vocal attribute. The speech model generates an output waveform using a sample model, which receives text data, and a conditioning model, which receives text metadata and produces a prosody output for use by the sample model. If, during training or runtime, a different vocal attribute is desired or needed, the sub-model is re-trained or switched to a different sub-model corresponding to the different vocal attribute.

Abstract: During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

Abstract: A speech-processing system receives both text data and natural-understanding data (e.g., a domain, intent, and/or entity) related to a command represented in the text data. The system uses the natural-understanding data to vary vocal characteristics in determining spectrogram data corresponding to the text data based on the natural-understanding data.

Abstract: During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.

Abstract: Techniques for the generation of dubbed audio for an audio/video are described.

Abstract: A method of teaching a child to walk is disclosed in which blocks are placed on a supporting surface at a distance apart. The child stands is encouraged to walk between the blocks. One type of block is a box defining a storage compartment including a top wall, a plurality of side walls, and a bottom wall. A layer of padding is provided on the top wall and the plurality of side walls, and a weight member is disposed adjacent the bottom wall. Another type of block is a body of foam including a top surface, a plurality of side surfaces and a bottom surface. A weight member disposed adjacent the bottom surface. With either type of block, a removable cover is provided to receive and enclose the block.

Abstract: A system is disclosed for configuring a hearing device. The system includes an audiogram processing component arranged to process image data indicative of an image of an audiogram associated with a person so as to produce audiogram data indicative of the audiogram, and a hearing device configuration component arranged to produce hearing device configuration data based on the audiogram data. The configuration data is indicative of configuration settings for a hearing device that will cause the hearing device to assist the hearing of the person.

Abstract: An audio transmitter including an audio input interface receiving first audio signals indicative of input audio from an audio source, a wireless transmitter wirelessly streaming second audio signals indicative of the input audio to a first audio reproducing device, and an audio output interface connectable to a second audio reproducing device, the audio transmitter arranged to supply third audio signals indicative of the input audio to the audio output interface. The audio transmitter facilitates connection to the audio transmitter to control wireless streaming of the second audio signals. A characteristic of sound of the wirelessly streamed second audio signals is controllable independently of a characteristic of sound of the third audio signals. An initial connection is established between the audio transmitter and a computing device in response to detection that the location of the computing device relative to the audio transmitter is less than a defined threshold.

Abstract: A system is disclosed for configuring a hearing device. The system comprises an audiogram processing component arranged to process image data indicative of an image of an audiogram associated with a person so as to produce audiogram data indicative of the audiogram, and a hearing device configuration component arranged to produce hearing device configuration data based on the audiogram data. The configuration data is indicative of configuration settings for a hearing device that will cause the hearing device to assist the hearing of the person.

Abstract: During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.

Abstract: A speech-processing system receives both text data and natural-understanding data (e.g., a domain, intent, and/or entity) related to a command represented in the text data. The system uses the natural-understanding data to vary vocal characteristics in determining spectrogram data corresponding to the text data based on the natural-understanding data.

Abstract: A blood volume monitor includes a carrier mountable on a subject's body part. A measuring arrangement is mounted on the carrier. The measuring arrangement provides data relating to a change in volume of the body part, and outputs signals representative of the change. A control unit is in communication with the measuring arrangement to process data output by the measuring arrangement to determine, using the volume data, the volume of the body part and determines blood volume in the body part. The control unit uses the response signals received from the measuring arrangement and the determined volume of the part of the body to determine the blood volume.

Abstract: A speech-processing system receives both text data and natural-understanding data (e.g., a domain, intent, and/or entity) related to a command represented in the text data. The system uses the natural-understanding data to vary vocal characteristics in determining spectrogram data corresponding to the text data based on the natural-understanding data.

Abstract: An audio transmitter including an audio input interface receiving first audio signals indicative of input audio from an audio source, a wireless transmitter wirelessly streaming second audio signals indicative of the input audio to a first audio reproducing device, and an audio output interface connectable to a second audio reproducing device, the audio transmitter arranged to supply third audio signals indicative of the input audio to the audio output interface. The audio transmitter facilitates connection to the audio transmitter to control wireless streaming of the second audio signals. A characteristic of sound of the wirelessly streamed second audio signals is controllable independently of a characteristic of sound of the third audio signals. An initial connection is established between the audio transmitter and a computing device in response to detection that the location of the computing device relative to the audio transmitter is less than a defined threshold.