title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¿Ð¾ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð²ÑÑÐ¾ÑÑ Ð·Ð²ÑÐºÐ¾Ð² Ð² Ð¼ÑÐ·ÑÐºÐ°Ð»ÑÐ½ÑÑ ÑÑÐ°Ð³Ð¼ÐµÐ½ÑÐ°Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Study of pitch estimation algorithms within music passages
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð²
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÑÐ°ÑÑÐ¾ÑÑ Ð·Ð²ÑÐºÐ°
Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð°
ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
python
keras
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
digital signal processing
pitch estimation
quality evaluation
comparative analysis
neural network

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐ¸Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ ÑÐµÑÑÑÑÑ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ°ÑÐ¿ÑÐ¾ÑÑÑÐ°Ð½ÑÐ½Ð½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¿Ð¾ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð½Ð¾Ñ Ð² Ð¾Ð´Ð½Ð¾Ð³Ð¾Ð»Ð¾ÑÐ½ÑÑ Ð¼ÐµÐ»Ð¾Ð´Ð¸ÑÑ, Ð¾ÑÑÑÐµÑÑÐ²Ð»ÑÐµÑÑÑ Ð¸Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ, Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð½Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ð¸ Ð°ÑÐ´Ð¸Ð¾Ð·Ð°Ð¿Ð¸ÑÐµÐ¹, Ð² ÐºÐ¾ÑÐ¾ÑÑÑ Ð¿Ð¾Ð¼Ð¸Ð¼Ð¾ Ð¼ÐµÐ»Ð¾Ð´Ð¸Ð¸ ÑÐ¾Ð´ÐµÑÐ¶Ð°ÑÑÑ âÑÑÐ¼Ð¾Ð²ÑÐµâ Ð¾ÑÐ·Ð²ÑÐºÐ¸ Ð¸ Ð¾Ð±ÐµÑÑÐ¾Ð½Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ¿ÐµÑÐ¸ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¸ÑÐ¼Ñ Ð¸Ð³ÑÑ, ÑÐ°ÑÐ°ÐºÑÐµÑÐ½ÑÐµ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÐ½Ð½ÑÑ Ð¼ÑÐ·ÑÐºÐ°Ð»ÑÐ½ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð². Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ð¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð²ÑÑÐ²Ð»ÑÑÑÑÑ Ð½ÐµÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¿ÑÐ¸ ÑÐ°Ð±Ð¾ÑÐµ Ñ ÑÐ°ÐºÐ¸Ð¼Ð¸ Ð°ÑÐ´Ð¸Ð¾Ð·Ð°Ð¿Ð¸ÑÑÐ¼Ð¸. ÐÐ°Ð½Ð½ÑÐµ Ð½ÐµÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð° Ð¾Ð±ÑÑÑÐ½ÑÑÑÑÑ Ñ ÑÐ¾ÑÐºÐ¸ Ð·ÑÐµÐ½Ð¸Ñ ÑÐ¿ÐµÑÐ¸ÑÐ¸ÐºÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð½ÑÑ Ð² Ð¸Ñ Ð¾ÑÐ½Ð¾Ð²Ðµ. Ð Ð·Ð°Ð²ÐµÑÑÐµÐ½Ð¸Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¿Ð¾ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð´Ð½Ð¾Ð³Ð¾Ð»Ð¾ÑÐ½ÑÑ Ð¼ÐµÐ»Ð¾Ð´Ð¸Ð¹ Ð¿ÑÐ¸Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¸Ñ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ° Ð¿Ð¾ Ð²ÑÐµÐ¼ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð½ÑÐ¼ Ð°ÑÐ¿ÐµÐºÑÐ°Ð¼ Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð½ÑÐ¼Ð¸ Ð´Ð»Ñ ÑÐ°Ð±Ð¾ÑÑ Ð°ÑÐ´Ð¸Ð¾Ð·Ð°Ð¿Ð¸ÑÑÐ¼Ð¸. ÐÐ°Ð»ÐµÐµ Ð² ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð´Ð»Ñ ÑÐ¼ÐµÐ¶Ð½Ð¾Ð¹ Ð·Ð°Ð´Ð°ÑÐ¸: ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð°ÐºÐºÐ¾ÑÐ´Ð¾Ð² Ð² Ð¼ÑÐ·ÑÐºÐ°Ð»ÑÐ½ÑÑ ÑÑÐ°Ð³Ð¼ÐµÐ½ÑÐ°Ñ. ÐÐ¾ÑÐ»Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¸Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¸ ÑÐ½Ð¸Ð²ÐµÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°.
description: This paper gives mathematical descriptions of four mostly widespread single-pitch estimation algorithms, and then describes their software implementation. After that, the accuracy and effectiveness of these algorithms are measured based on the results captured after processing audio-recordings with different Â«noisyÂ» sounds, overtones, echo effects, timbre features and music techniques of various musical instruments. Obviously, all these aspects affect the estimation accuracy. The goal of the part dedicated to single pitch estimation algorithms is to analyze the accuracy loss and relate the loss with the steps implemented in the algorithms. The end of this part of work provides the comparative characteristics based on the aspects chosen in accordance with the features of audio-recordings being processed. The remainder of the work is dedicated to the implementation of the neuro-algorithm for the related purpose: multi-pitch estimation. The implementation description is followed by the quality and operational universality evaluation of the model.