Voice command type entry used as a basis for applying “audio effects” (see definition herein), “sound effects” (see definition herein) and/or audio edits (see definition herein) to a sound signal. This may be done so that the various types of instructed audio processing evoke, in typical listeners, a desired sentiment or mood. Artificial intelligence may be used to accomplish this objective.

A sound control device includes: a reception unit that receives a start instruction indicating a start of output of a sound; a reading unit that reads a control parameter that determines an output mode of the sound, in response to the start instruction being received; and a control unit that causes the sound to be output in a mode according to the read control parameter.

Embodiments of this application provide a voice interaction method and an electronic device, and relate to the field of artificial intelligence AI technologies and the field of voice processing technologies. A specific solution includes: An electronic device may receive first voice information sent by a second user, and the electronic device recognizes the first voice information in response to the first voice information. The first voice information is used to request a voice conversation with a first user. The electronic device may have, on a basis that the electronic device recognizes that the first voice information is voice information of the second user, a voice conversation with the second user by imitating a voice of the first user and in a mode in which the first user has a voice conversation with the second user.

An electronic musical instrument includes at least one processor that, in accordance with a user operation on an operation unit, obtains lyric data and waveform data corresponding to a first tone color; inputs the obtained lyric data to a trained model so as to cause the trained model to output acoustic feature data in response thereto; generates waveform data corresponding to a singing voice of a singer and corresponding to a second tone color that is different from the first tone color, based on the acoustic feature data outputted from the trained model and the obtained waveform data corresponding to the first tone color; and outputs a singing voice based on the generated waveform data corresponding to the second tone color.

Embodiments of this application provide an audio generation method, a related apparatus, and a storage medium, to provide a better audio generation solution for a user. In embodiments of this application, a text is obtained, a song clip corresponding to the text is obtained through matching, and the song clip is used as audio corresponding to the text. In this way, the text can be expressed in a manner of the song clip.

An audio onset detection method and apparatus, an electronic device, and a computer readable storage medium. The audio onset detection method comprises: determining a first voice frequency spectrum parameter corresponding to each frequency band according to a frequency domain signal corresponding to an audio signal of an audio; for each frequency band, determining a second voice frequency spectrum parameter of a current frequency band according to the first voice frequency spectrum parameter of the current frequency band and the first voice frequency spectrum parameters of frequency bands positioned before the current frequency band according to a time sequence; and determining one or more onset positions of notes and syllables in the audio according to the second voice frequency spectrum parameters corresponding to the frequency bands.

Voice synthesis method and apparatus generate second control data using an intermediate trained model with first input data including first control data designating phonetic identifiers, change the second control data in accordance with a first user instruction provided by a user, generate synthesis data representing frequency characteristics of a voice to be synthesized using a final trained model with final input data including the first control data and the changed second control data, and generate a voice signal based on the generated synthesis data.

An electronic musical instrument includes an operation unit that receives a user performance; and at least one processor. wherein the at least one processor performs the following: in accordance with a user operation specifying a chord on the operation unit, obtaining lyric data of a lyric and obtaining a plurality of pieces of waveform data respectively corresponding to a plurality of pitches indicated by the specified chord; inputting the obtained lyric data to a trained model that has been trained and learned singing voices of a singer so as to cause the trained model to output acoustic feature data in response thereto; synthesizing each of the plurality of pieces of waveform data with the acoustic feature data so as to generate a plurality of pieces of synthesized waveform data; and outputting a polyphonic synthesized singing voice based on the generated plurality of pieces of synthesized waveform data.

Voice synthesis method and apparatus generate second control data using an intermediate trained model with first input data including first control data designating phonetic identifiers, change the second control data in accordance with a first user instruction provided by a user, generate synthesis data representing frequency characteristics of a voice to be synthesized using a final trained model with final input data including the first control data and the changed second control data, and generate a voice signal based on the generated synthesis data.

The application relates to a computer implemented method and system for modifying at least one feature of an input audio signal based on features in a guide audio signal. The method comprises: determining matchable and unmatchable sections of the guide and input audio signals; generating a time-alignment path for modifying the at least one feature of the input audio signal in the matchable sections of the input audio signal based on corresponding features in the matchable sections of the guide audio signal, based on the time-alignment path, modifying the at least one feature in the matchable sections of the audio input signal.