Speech feature extraction method based on quantum Fourier transform

• Main Authors: YANG DANQING, MAO HETING, LI YANGYANG, JIAO LICHENG, LIU RUIJIAO, ZHAO YIQUN, ZHAO PEIXIANG, LI LINGLING
• Format: Patent
• Language: Chinese; English
• Published: 16.04.2021
• Subjects: ACOUSTICS; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION

The invention provides a speech feature extraction method based on quantum Fourier transform, and aims to improve the speed of speech signal feature extraction on the premise of not reducing the resolution of speech signal feature extraction. The method comprises the following steps of: 1) initializing quantum computer parameters; 2) discretizing speech signals; 3) obtaining a binary quantum state of each time domain speech signal segment through a quantum computer; 4) performing quantum Fourier transform on the binary quantum state through the quantum computer; 5) performing quantization coding on a time domain speech signal segment digital matrix through the quantum computer; and 6) obtaining a feature extraction result of the speech signals through the quantum computer. Quantum Fourier transform is realized by using a quantum logic gate, conversion of each binary quantum state is completed, which is equivalent to the completion of multiple addition, subtraction, multiplication and division operations at th