A smart speaker for providing a sound service based on an artificial intelligence platform, while being communicatively connected to an external server is disclosed. The smart speaker includes a first transceiver for connection to a wireless local area network (WLAN), a second transceiver for connection to a mobile communication network, and a processor configured to control communication connection to the external server through the first transceiver in indoor mode, and control communication with the external server through the second transceiver in outdoor mode.

The invention provides a sound generator having a frame, a vibration system and a magnetic circuit system carried by the frame. The vibration system includes a diaphragm, a coil and an elastic support assembly. The diaphragm includes a first suspension ring fixed with the frame, a first dome at a center of the first suspension ring, and a second dome stacked on the first dome. The first dome includes a main body, a first wall, and a second wall extending perpendicularly from the first wall for connecting to the coil via the first wall. The first wall is connected to a side surface of the coil. The first wall and the second wall are used for elastically suspending the coil below the diaphragm. Thus, the sound generator has improved high frequency performance.

Disclosed are a button sound-emitting apparatus and an electronic device. The button sound-emitting apparatus comprises a cap part, a exciter, and an elastic component; said elastic component is arranged at an edge of the cap part; said exciter is provided in the middle of the cap part; the elastic component is connected to a housing of the electronic device; the exciter is suspended in the housing; the elastic component is configured for providing an elastic restoring force; the exciter is configured to be used for providing a driving force. The button sound-emitting apparatus is simple in structure and eliminates the need to arrange a front acoustic cavity and a sound outlet hole, and ensures good sound performance.

A method, an electronic device, and a recording medium for compensating an in-ear audio signal are provided. The method is applicable to the electronic device having a processor. In the method, an in-ear audio signal transmitted through an inner ear when a user speaks is captured by using an in-ear microphone, and an outer audio signal transmitted through air when the user speaks is captured by using an outer microphone in a training stage. Then, a machine learning model of audio signals is established for an objective function and is trained by using the in-ear audio signal and the outer audio signal. Finally, the in-ear audio signal captured by the in-ear microphone is converted into a compensated audio signal by using the trained machine learning model in an online stage, and the compensated audio signal is output.

An electronic device comprises a housing comprising an audio opening, a Printed Circuit Board (PCB) arranged inside the housing, a microphone mounted on the PCB, and an audio channel assembly. The audio channel assembly comprises a first opening coupled to the audio opening, and a second opening coupled to an input of the microphone, wherein an audio channel is formed between the first opening and the second opening. The audio channel assembly is mounted on the PCB using a soldering part.

The invention provides a sound generator having a frame, a vibration system and a magnetic circuit system carried by the frame. The vibration system includes a diaphragm, a coil and an elastic support assembly. The diaphragm includes a first suspension ring fixed with the frame, a first dome at a center of the first suspension ring, and a second dome stacked on the first dome. The first dome includes a main body, a first wall, and a second wall extending perpendicularly from the first wall for connecting to the coil via the first wall. The first wall is connected to a side surface of the coil. The first wall and the second wall are used for elastically suspending the coil below the diaphragm. Thus, the sound generator has improved high frequency performance.

The invention concerns a mobile terminal with at least two transducers (LSm, LSs1, LSS2) used simultaneously as loudspeakers for stereophonic effect. According to the invention, one of said transducers is a main transducer (LSm) with a main working frequency band (Bm) corresponding to at least the phone frequency band, while the other transducer is a secondary transducer (LSs1; LSs2) with a secondary working frequency band (Bs1; Bs2) band different from said main frequency band, the lowest frequencies of said secondary working frequency band (Bs1; Bs2) being greater than the lowest frequencies of said main working frequency band.

An improved ultrasonic lens and associated system is provided. Specifically, there is provided an ultrasonic lens with two sets of parallel sound ports operatively connected to an electrodynamic transducer to extend the working range of both audible and ultrasonic sound signals. The ultrasonic lens and electrodynamic transducer are situated so that the electrodynamic transducer axis and the sound port axes are aligned, whereby a shift in either the x or y axis direction will influence the ultrasound and audible behavior of the sound signal from the electrodynamic transducer.

An electronic device comprises a housing comprising an audio opening, Printed Circuit Board (PCB) arranged inside the housing, a microphone mounted on the PCB, and an audio channel assembly. The audio channel assembly comprises a first opening coupled to the audio opening, and a second opening coupled to an input of the microphone, wherein an audio channel is formed between the first opening and the second opening. The audio channel assembly is mounted on the PCB using a soldering part.

A method, an electronic device, and a recording medium for compensating an in-ear audio signal are provided. The method is applicable to the electronic device having a processor. In the method, an in-ear audio signal transmitted through an inner ear when a user speaks is captured by using an in-ear microphone, and an outer audio signal transmitted through air when the user speaks is captured by using an outer microphone in a training stage. Then, a machine learning model of audio signals is established for an objective function and is trained by using the in-ear audio signal and the outer audio signal. Finally, the in-ear audio signal captured by the in-ear microphone is converted into a compensated audio signal by using the trained machine learning model in an online stage, and the compensated audio signal is output.