Speech and Noise Corpora for Pitch Estimation of Human Speech

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Speech and Noise Corpora for Pitch Estimation of Human Speech | Zenodo

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Published June 29, 2020

| Version 1.0.0

Dataset

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Speech and Noise Corpora for Pitch Estimation of Human Speech

Authors/Creators

Bastian Bechtold1

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1.

Jade Hochschule

Description

This dataset contains common speech and noise corpora for evaluating fundamental frequency estimation algorithms as convenient JBOF dataframes. Each corpus is available freely on its own, and allows redistribution:

CMU-ARCTIC (BSD license) [1]

FDA (free to download) [2]

KEELE (free for noncommercial use) [3]

MOCHA-TIMIT (free for noncommercial use) [4]

PTDB-TUG (ODBL license) [5]

NOISEX (free to download) [7]

QUT-NOISE (CC-BY-SA license) [8]

These files are published as part of my dissertation, "Pitch of Voiced Speech in the Short-Time Fourier Transform: Algorithms, Ground Truths, and Evaluation Methods", and in support of the Replication Dataset for Fundamental Frequency Estimation.

References:

John Kominek and Alan W Black. CMU ARCTIC database for speech synthesis, 2003.

Paul C Bagshaw, Steven Hiller, and Mervyn A Jack. Enhanced Pitch Tracking and the Processing of F0 Contours for Computer Aided Intonation Teaching. In EUROSPEECH, 1993.

F Plante, Georg F Meyer, and William A Ainsworth. A Pitch Extraction Reference Database. In Fourth European Conference on Speech Communication and Technology, pages 837–840, Madrid, Spain, 1995.

Alan Wrench. MOCHA MultiCHannel Articulatory database: English, November 1999.

Gregor Pirker, Michael Wohlmayr, Stefan Petrik, and Franz Pernkopf. A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. page 4, 2011.

John S. Garofolo, Lori F. Lamel, William M. Fisher, Jonathan G. Fiscus, David S. Pallett, Nancy L. Dahlgren, and Victor Zue. TIMIT Acoustic-Phonetic Continuous Speech Corpus, 1993.

Andrew Varga and Herman J.M. Steeneken. Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recog- nition systems. Speech Communication, 12(3):247–251, July 1993.

David B. Dean, Sridha Sridharan, Robert J. Vogt, and Michael W. Mason. The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms. Proceedings of Interspeech 2010, 2010.

Files

CMU_Arctic.zip

Files<br>(15.5 GB)

Name<br>Size

CMU_Arctic.zip

md5:9d394e2d698b4e010f91baf7e72bf527

1.4 GB

Preview

Download

KEELE.zip

md5:f5a87014bad14744660b90187de7d43f

22.8 MB

Preview

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KEELE_mod.zip

md5:a84f097187a7051dacef2eb2bfbf8462

23.1 MB

Preview

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MOCHA_TIMIT.zip

md5:854df9067051f5906fd6c761969e6415

1.4 GB

Preview

Download

NOISEX92.zip

md5:b5b707b8ac7217713e3123360c21043c

125.0 MB

Preview

Download

PTDB_TUG.zip

md5:9bf8f0bc5b1f928fcefdc9c85d7ec74d

4.4 GB

Preview

Download

QUT_NOISE.zip

md5:3b963721d8ad7b8d231170b06e4ffb1e

8.3 GB

Preview

Download

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Total data volume

3.3 TB<br>1.6 TB

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Keywords and subjects

Keywords

speech

noise

Details

DOI

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DOI

10.5281/zenodo.3920591

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Resource type<br>Dataset

Publisher<br>Zenodo

Languages

English

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License

Other (Non-Commercial)

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Created

June 29, 2020

Modified

June 30, 2020

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