Abstract: Example signal processing methods and example electronic devices are disclosed. One example method is applied to an electronic device, where the electronic device includes a microphone array and a camera. The example method includes performing sound source localization on a first audio signal obtained by using the microphone array, to obtain sound source direction information. A first video obtained by using the camera is processed to obtain user direction information. A target sound source direction is determined based on the sound source direction information and the user direction information. A user lip video is obtained in the target sound source direction by using the camera. A second audio signal is obtained by using the microphone array. A third audio signal is obtained based on the second audio signal and the user lip video by using a voice quality enhancement model.

Abstract: Embodiments of this application provide a voice interaction method. In the interaction method an electronic device receives a first voice signal, where the first voice signal includes a wake-up word. The electronic device switches from a standby state to a working state based on the wake-up word, and the electronic device outputs a second voice signal in a first tone, where the second voice signal is used to respond to the first voice signal. The first tone is obtained based on personal information associated with a voiceprint feature of the first voice signal, and the personal information includes personal information corresponding to a first registered voice signal. In a plurality of registered voice signals, a voiceprint feature of the first registered voice signal is most similar to the voiceprint feature of the first voice signal.

Abstract: A speech processing method and a terminal are provided. The method includes: receiving signals from a plurality of microphones; performing, by using a same sampling rate, analog-to-digital conversion on the plurality of paths of signals received from the plurality of microphones, to obtain a plurality of paths of time-domain digital signals; performing time-to-frequency-domain conversion on the plurality of paths of time-domain digital signals to obtain a plurality of paths of frequency-domain signals; and determining a signal type of the primary frequency-domain signal based on at least one of a sound pressure difference between the primary frequency-domain signal and each of N paths of secondary frequency-domain signals in the M paths of secondary frequency-domain signals, a phase difference between the primary frequency-domain signal and each of the N paths of secondary frequency-domain signals, and a frequency distribution characteristic of the primary frequency-domain signal.

Abstract: A speech processing method and a terminal are provided. The method includes: receiving signals from a plurality of microphones; performing, by using a same sampling rate, analog-to-digital conversion on the plurality of paths of signals received from the plurality of microphones, to obtain a plurality of paths of time-domain digital signals; performing time-to-frequency-domain conversion on the plurality of paths of time-domain digital signals to obtain a plurality of paths of frequency-domain signals; and determining a signal type of the primary frequency-domain signal based on at least one of a sound pressure difference between the primary frequency-domain signal and each of N paths of secondary frequency-domain signals in the M paths of secondary frequency-domain signals, a phase difference between the primary frequency-domain signal and each of the N paths of secondary frequency-domain signals, and a frequency distribution characteristic of the primary frequency-domain signal.