Speech and Noise Corpora for Pitch Estimation of Human Speech

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Pangram verdict · v3.3

We believe that this document is fully human-written

1 %

AI likelihood · overall

Human

100% human-written 0% AI-generated

SEGMENTS · HUMAN 3 of 3

SEGMENTS · AI 0 of 3

WORD COUNT 351

PEAK AI % 2% · §1

Analyzed

Jul 5

backend: pangram/v3.3

Segments scanned

3 windows

avg 117 words each

Distribution

100 / 0%

human / AI fraction

Verdict

Human

Pangram v3.3

Article text · 351 words · 3 segments analyzed

Human AI-generated

§1 Human · 2%

Published June 29, 2020 | Version 1.0.0 Dataset

Open 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.

§2 Human · 0%

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 (15.5 GB)

Name Size Download all CMU_Arctic.zip md5:9d394e2d698b4e010f91baf7e72bf527 1.4 GB Preview Download KEELE.zip md5:f5a87014bad14744660b90187de7d43f 22.8 MB Preview Download KEELE_mod.zip

§3 Human · 1%

md5:a84f097187a7051dacef2eb2bfbf8462 23.1 MB Preview Download 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