A comparative study of pitch extraction algorithms on a large variety of singing sounds-Reference-Cited by-同舟云学术

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A comparative study of pitch extraction algorithms on a large variety of singing sounds

Published:2013-05 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Acoustics, Speech and Signal Processing
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Author:

Babacan Onur,Drugman Thomas,d'Alessandro Nicolas,Henrich Nathalie,Dutoit Thierry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6619549/6637585/06639185.pdf?arnumber=6639185

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Korean Pansori Vocal Note Transcription Using Attention-Based Segmentation and Viterbi Decoding;Applied Sciences;2024-01-05

2. Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

3. A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. MusicYOLO: A Vision-Based Framework for Automatic Singing Transcription;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

5. Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12

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