Provided is a system which allows a learner who is a non-native speaker of a given language to intuitively improve pronunciation of the language. A pronunciation conversion apparatus includes a conversion section which converts a first feature value corresponding to a first speech signal obtained when a first speaker who speaks a given language as his/her native language speaks another language such that the first feature value approaches a second feature value corresponding to a second speech signal obtained when a second speaker who speaks the other language as his/her native language speaks the other language, each of the first feature value and the second feature value is a feature value capable of representing a difference in pronunciation, and a speech signal obtained from the first feature value after the conversion is presented to the first speaker.

A method of producing a light animation with a rhythm of music is disclosed. An electronic device performs Fourier series transform on a sound signal of music produced from at least one musical instrument, so as to obtain a rhythm diagram of the sound signal. The operation to extract a rhythm change point of the rhythm diagram is performed, and when the intensity of the rhythm diagram has a change from increase to decrease, the time point of the change is used as the rhythm change point and the electronic device transmits a lighting control signal to a light emitting device. After receiving the lighting control signal, the light emitting device emits light based on the lighting control signal, and the light emitted from the light emitting device continues to form the light animation, thereby improving overall performance appreciation of the music for audiences.

A method of producing a light animation with a rhythm of music is disclosed. An electronic device performs Fourier series transform on a sound signal of music produced from at least one musical instrument, so as to obtain a rhythm diagram of the sound signal. The operation to extract a rhythm change point of the rhythm diagram is performed, and when the intensity of the rhythm diagram has a change from increase to decrease, the time point of the change is used as the rhythm change point and the electronic device transmits a lighting control signal to a light emitting device. After receiving the lighting control signal, the light emitting device emits light based on the lighting control signal, and the light emitted from the light emitting device continues to form the light animation, thereby improving overall performance appreciation of the music for audiences.

A microphone-speaker device includes a speaker, a microphone configured to capture sound and output an audio data signal and a housing configured to contain the microphone and the speaker. The device also includes an electronic circuit having audio electronics coupled to the speaker, an Ethernet interface configured to connect the electronic circuit for communication with a security system through an Ethernet connection, a power extractor for extracting power from the Ethernet connection for powering the electronic circuit and the microphone, and processing electronics configured to process the audio data signal from the microphone.

An electronic device includes one or more microphones that generate audio signals and a wind noise detection subsystem. The electronic device may also include a wind noise reduction subsystem. The wind noise detection subsystem applies multiple wind noise detection techniques to the set of audio signals to generate corresponding indications of whether wind noise is present. The wind noise detection subsystem determines whether wind noise is present based on the indications generated by each detection technique and generates an overall indication of whether wind noise is present. The wind noise reduction subsystem applies one or more wind noise reduction techniques to the audio signal if wind noise is detected. The wind noise detection and reduction techniques may work in multiple domains (e.g., the time, spatial, and frequency domains).

An electronic device includes one or more microphones that generate audio signals and a wind noise detection subsystem. The electronic device may also include a wind noise reduction subsystem. The wind noise detection subsystem applies multiple wind noise detection techniques to the set of audio signals to generate corresponding indications of whether wind noise is present. The wind noise detection subsystem determines whether wind noise is present based on the indications generated by each detection technique and generates an overall indication of whether wind noise is present. The wind noise reduction subsystem applies one or more wind noise reduction techniques to the audio signal if wind noise is detected. The wind noise detection and reduction techniques may work in multiple domains (e.g., the time, spatial, and frequency domains).

Speech fluency evaluation and feedback tools are described. A computing device such as a smartphone may be used to collect speech (and/or other data). The collected data may be analyzed to detect various speech events (e.g., stuttering) and feedback may be generated and provided based on the detected speech events. The collected data may be used to generate a fluency score or other performance metric associated with speech. Collected data may be provided to a practitioner such as a speech therapist or physician for improved analysis and/or treatment.

Speech fluency evaluation and feedback tools are described. A computing device such as a smartphone may be used to collect speech (and/or other data). The collected data may be analyzed to detect various speech events (e.g., stuttering) and feedback may be generated and provided based on the detected speech events. The collected data may be used to generate a fluency score or other performance metric associated with speech. Collected data may be provided to a practitioner such as a speech therapist or physician for improved analysis and/or treatment.

An apparatus for estimating an inter-channel time difference between a first channel signal and a second channel signal, includes a signal analyzer for estimating a signal characteristic of the first channel signal or the second channel signal or both signals or a signal derived from the first channel signal or the second channel signal; a calculator for calculating a cross-correlation spectrum for a time block from the first channel signal in the time block and the second channel signal in the time block; a weighter for weighting a smoothed or non-smoothed cross-correlation spectrum to obtain a weighted cross correlation spectrum using a first weighting procedure or using a second weighting procedure depending on a signal characteristic estimated by the signal analyzer, wherein the first weighting procedure is different from the second weighting procedure; and a processor for processing the weighted cross-correlation spectrum to obtain the inter-channel time difference.

A method for processing an initial signal includes a useful signal and added noise, which comprises a step of frequency selective analysis providing starting from initial signal a plurality of wideband analysis signals corresponding to one of the analysed frequencies, and comprising the following actions: zero or more complex frequency translations, one or more undersampling operations, computation of the instantaneous Amplitude, of the instantaneous Phase, and of the instantaneous Frequency of the wideband analysis signals. This information then allow to detect modulations of signals included in high levels of noise and to detect with a good probability the presence of a signal in a high level of noise.