Electronic device, method, and storage medium

A technology of electronic devices and circuits, applied in neural learning methods, electroacoustic musical instruments, speech analysis, etc., can solve problems such as high computational complexity

Pending Publication Date: 2021-05-07
SONY CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods require

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  • Electronic device, method, and storage medium
  • Electronic device, method, and storage medium
  • Electronic device, method, and storage medium

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Embodiment Construction

[0021] in reference Figure 1 to Figure 9 Before describing the embodiments in detail, general explanations are provided.

[0022] Embodiments disclose an electronic device comprising circuitry configured to: input an audio mix signal comprising a plurality of sources to a deep neural network to obtain equalization parameters; Perform audio equalization for separated sources.

[0023] The circuitry of the electronic device may include a processor (CPU), memory (RAM, ROM, etc.), memory and / or storage, interfaces, audio receivers, upmixing systems, and the like. Circuitry may include or be connected to input devices (mouse, keyboard, camera, etc.), output devices (displays (e.g., liquid crystals, (organic) light-emitting diodes, etc.), speakers, etc., (wireless) interfaces, etc., such as electronic devices (computer , smartphones, etc.) are commonly known. The circuitry may also be a single device, multiple devices, a chipset, or the like. Furthermore, the circuit can implem...

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PUM

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Abstract

The invention relates to an electronic device, a method and a storage medium. The electronic device includes circuitry configured to: input an audio mixed signal including a plurality of sources to a deep neural network to obtain an equalization parameter; and performing audio equalization on the audio mixed signal based on an equalization parameter obtained from the deep neural network to obtain a separation source.

Description

technical field [0001] The present disclosure relates generally to the field of audio processing, and more particularly to apparatuses, methods and computer programs for music sources separation. Background technique [0002] In general, Music Source Separation (MSS) refers to the separation of music into individual instrument tracks. [0003] Traditionally, music source separation is performed in the frequency domain by applying a short-time Fourier transform (STFT) to the audio signal. For example, Uhlich, Stefan & Giron, Franck & Mitsufuji, Yuki in "Deep neural network based instrument extraction from music", 2015, 10.1109 / ICASSP.2015.7178348 discloses the extraction of musical instruments from music by using deep neural networks. Further, Uhlich, Stefan&Porcu, Marcello&Giron, Franck&Enenkl, Michael&Kemp, Thomas&Takahashi, Naoya&Mitsufuji, Yuki described this task in "Improving music source separation based on deep neural networks through dataaugmentation and network ble...

Claims

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Application Information

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IPC IPC(8): G10L21/0272G10L25/30G06N3/08G06N3/04
CPCG10L21/0272G10L25/30G06N3/08G06N3/049G10H2250/055G10H2250/311G06N3/044G06N3/045
Inventor 斯特凡·乌利希迈克尔·埃嫩克尔
Owner SONY CORP
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