A mask to enhance speech emitted from a speaker is estimated from an observation signal, the mask is applied to the observation signal, and thereby a post-mask speech signal is acquired. The mask is estimated from a feature obtained by combining a feature for speaker recognition extracted from the observation signal and a feature for generalized mask estimation extracted from the observation signal.

A speech enhancement method includes: determining a glottal parameter corresponding to a target speech frame according to a frequency domain representation of the target speech frame; determining a gain corresponding to the target speech frame according to a gain corresponding to a historical speech frame of the target speech frame; determining an excitation signal corresponding to the target speech frame according to the frequency domain representation of the target speech frame; and synthesizing the glottal parameter corresponding to the target speech frame, the gain corresponding to the target speech frame, and the excitation signal corresponding to the target speech frame, to obtain an enhanced speech signal corresponding to the target speech frame.

A speech enhancement method includes: determining a glottal parameter corresponding to a target speech frame according to a frequency domain representation of the target speech frame; determining a gain corresponding to the target speech frame according to a gain corresponding to a historical speech frame of the target speech frame; determining an excitation signal corresponding to the target speech frame according to the frequency domain representation of the target speech frame; and synthesizing the glottal parameter corresponding to the target speech frame, the gain corresponding to the target speech frame, and the excitation signal corresponding to the target speech frame, to obtain an enhanced speech signal corresponding to the target speech frame.

Embodiments of the present disclosure a computer-implemented method comprising receiving sensor data from one or more vibration sensors that are embedded within a seat, where the sensor data includes data associated with speech by an occupant of the seat, and at least one of processing, transmitting, or storing the sensor data based on the data associated with the speech.

Embodiments of the present disclosure a computer-implemented method comprising receiving sensor data from one or more vibration sensors that are embedded within a seat, where the sensor data includes data associated with speech by an occupant of the seat, and at least one of processing, transmitting, or storing the sensor data based on the data associated with the speech.

Methods and systems are provided for detecting artifacts in an electronic signal. In an embodiment, a method is provided comprising: connecting a first input of an electronic device to a first signal line of a signal processing device, such as an amplification device; connecting a second input of the electronic device to a second signal line of the signal processing device, the second signal line being downstream from the first signal line; establishing, based on an observed behavior of a first signal on the first signal line, an expected behavior of a second signal on the second signal line; and determining whether a difference exists between the expected behavior of the second signal and an observed behavior of the second signal. If a difference is detected, the expected behavior of a second signal and the observed behavior of the second signal may be recorded for later analysis.

Methods and systems are provided for detecting artifacts in an electronic signal. In an embodiment, a method is provided comprising: connecting a first input of an electronic device to a first signal line of a signal processing device, such as an amplification device; connecting a second input of the electronic device to a second signal line of the signal processing device, the second signal line being downstream from the first signal line; establishing, based on an observed behavior of a first signal on the first signal line, an expected behavior of a second signal on the second signal line; and determining whether a difference exists between the expected behavior of the second signal and an observed behavior of the second signal. If a difference is detected, the expected behavior of a second signal and the observed behavior of the second signal may be recorded for later analysis.

An electronic device is provided. The electronic device includes a speaker, a microphone, a processor, and a memory. For example, the electronic device may obtain a first audio signal during a first specified time by using the microphone, may identify reference noise intensity based on the first audio signal, may obtain a second audio signal exceeding the reference noise intensity by using the microphone, may turn off the microphone based on a fact that a third audio signal having the reference noise intensity or less is obtained during a second specified time or longer, and may modulate and output the second audio signal through the speaker while the microphone is turned off.

An electronic device is provided. The electronic device includes a speaker, a microphone, a processor, and a memory. For example, the electronic device may obtain a first audio signal during a first specified time by using the microphone, may identify reference noise intensity based on the first audio signal, may obtain a second audio signal exceeding the reference noise intensity by using the microphone, may turn off the microphone based on a fact that a third audio signal having the reference noise intensity or less is obtained during a second specified time or longer, and may modulate and output the second audio signal through the speaker while the microphone is turned off.

Systems and methods for dynamic voice accentuation and reinforcement are presented herein. One embodiment comprises one or more audio input sources; one or more audio output sources; one or more band pass filters; and a processing control unit that includes an audio processing unit, and which executes a method: differentiating between audio input sources as vocal sound audio input sources and ambient noise audio input sources; increasing the gain of the vocal sound audio input sources; inverting a polarity of an ambient noise signal received by each of the ambient noise audio input sources; and adding the inverted polarity to either an output signal of at least one of the one or more audio output sources, or to an input signal of at least one of the vocal sound audio input sources, to reduce ambient noise.