找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Signal Processing Methods for Music Transcription; Anssi Klapuri,Manuel Davy Book 2006 Springer-Verlag US 2006 Acoustics.algorithms.classi

[復(fù)制鏈接]
查看: 38860|回復(fù): 48
樓主
發(fā)表于 2025-3-21 18:40:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Signal Processing Methods for Music Transcription
編輯Anssi Klapuri,Manuel Davy
視頻videohttp://file.papertrans.cn/868/867065/867065.mp4
概述The first book uniting state-of-the-art research in signal processing for music transcription.Covers a range of topics and approaches discussed by international experts in the field.Contributes to the
圖書封面Titlebook: Signal Processing Methods for Music Transcription;  Anssi Klapuri,Manuel Davy Book 2006 Springer-Verlag US 2006 Acoustics.algorithms.classi
描述.Signal Processing Methods for Music Transcription. is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis. Following a clearly structured pattern, each chapter provides a comprehensive review of the existing methods for a certain subtopic while covering the most important state-of-the-art methods in detail. The concrete algorithms and formulas are clearly defined and can be easily implemented and tested. A number of approaches are covered, including, for example, statistical methods, perceptually-motivated methods, and unsupervised learning methods. The text is enhanced by a common reference and index..
出版日期Book 2006
關(guān)鍵詞Acoustics; algorithms; classification; cognition; learning; modeling; signal processing
版次1
doihttps://doi.org/10.1007/0-387-32845-9
isbn_softcover978-1-4419-4035-3
isbn_ebook978-0-387-32845-4
copyrightSpringer-Verlag US 2006
The information of publication is updating

書目名稱Signal Processing Methods for Music Transcription影響因子(影響力)




書目名稱Signal Processing Methods for Music Transcription影響因子(影響力)學(xué)科排名




書目名稱Signal Processing Methods for Music Transcription網(wǎng)絡(luò)公開度




書目名稱Signal Processing Methods for Music Transcription網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Signal Processing Methods for Music Transcription被引頻次




書目名稱Signal Processing Methods for Music Transcription被引頻次學(xué)科排名




書目名稱Signal Processing Methods for Music Transcription年度引用




書目名稱Signal Processing Methods for Music Transcription年度引用學(xué)科排名




書目名稱Signal Processing Methods for Music Transcription讀者反饋




書目名稱Signal Processing Methods for Music Transcription讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:31:46 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:19:41 | 只看該作者
地板
發(fā)表于 2025-3-22 05:57:37 | 只看該作者
An Introduction to Statistical Signal Processing and Spectrum Estimationsity functions, and likelihood functions. It also introduces estimation theory. Section 2.3 is about Bayesian estimation methods, including Monte Carlo techniques for numerical computations. Finally, Section 2.4 introduces pattern recognition methods, including support vector machines and hidden Markov models.
5#
發(fā)表于 2025-3-22 10:31:51 | 只看該作者
6#
發(fā)表于 2025-3-22 16:57:21 | 只看該作者
Auditory Model-Based Methods for Multiple Fundamental Frequency Estimatione natural to pursue automatic music transcription and multiple FO estimation by investigating what happens in the human listener. Here the term multiple FO estimation means estimating the FOs of several concurrent sounds.
7#
發(fā)表于 2025-3-22 19:10:02 | 只看該作者
8#
發(fā)表于 2025-3-22 21:55:26 | 只看該作者
9#
發(fā)表于 2025-3-23 04:07:03 | 只看該作者
Multiple Fundamental Frequency Estimation Based on Generative Models[451], [193]. Though acoustic waveforms may vary from one musical instrument to another, and even from one performance to another with the same instrument, they can be modelled accurately using a unique mathematical model, with different parameters.
10#
發(fā)表于 2025-3-23 07:49:39 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-31 00:33
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
沂水县| 青海省| 黎城县| 永和县| 综艺| 岳普湖县| 延吉市| 溆浦县| 河津市| 高雄县| 兴化市| 金寨县| 莎车县| 嘉黎县| 溆浦县| 伊吾县| 日土县| 平潭县| 栾城县| 绿春县| 新田县| 河曲县| 望江县| 云梦县| 安岳县| 潜山县| 灵宝市| 景洪市| 精河县| 兴和县| 仁化县| 田阳县| 烟台市| 陇西县| 六安市| 兴海县| 荔浦县| 古蔺县| 安龙县| 德令哈市| 宣汉县|