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SPIRE VCV corpus

  • SPIRE VCV is a database of speech production, which includes simultaneous acoustic and electromagnetic articulography data collected from speakers of non-native/Indian English.
  • Stimuli comprises of non-sense symmetrical VCV (Vowel-Consonant-Vowel) utterances as part of the sentence "speak VCV today" in three different speaking rates: slow, normal, and fast with 3 repetitions each.
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wSPIRE corpus

  • wSPIRE corpus is a multi device speech database having recordings in neutral and whispered mode.
  • 88 speakers.
  • 5 devices.
  • Parallel recordings in neutral and whispered speech.
  • The data was recorded in a soundproof recording room at the Electrical Engineering Department, Indian Institute of Science (IISc), Bangalore.
  • All the speakers are either graduate/interning students or employees at IISc.
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Phonetically Rich Audio Visual (PRAV) corpus

Examplary video and audio files of four subjects

Sample Video File
Sample Audio File

Sample Video File
Sample Audio File

Sample Video File
Sample Audio File

Sample Video File
Sample Audio File

Download 30 sample sentences (among 2368 sentences) used for audio-visual recording in PRAV corpus.

To obtain a link for downloading the complete database, please fill up the form.

FAcial VIdeo for Pulse-rate estimation (FAVIP) database

Brief Description of the FAVIP database:

The FAVIP database consists of 15 subjects, 12 males and 3 females (as shown above). For each subject, ground truth pulse rate from a pulse-oximeter is provided along with simultaneously recorded one-minute videos taken by two cameras from Samsung S3 phone and iPhone 3GS phone. This recording is repeated at three camera-subject distances, namely 0.5, 1 and 2 feet.

To obtain a link for downloading the complete database, please email to prasantgATee.iisc.ernet.in.

If you are using this database in a paper, please cite the following work:
Gaonkar, P. Aditya, R. Bhuthesh, Dipanjan Gope, and Prasanta Kumar Ghosh. "Robust real-time pulse rate estimation from facial video using sparse spectral peak tracking." In Signal Processing and Communications (SPCOM), 2016 International Conference on, pp. 1-5. IEEE, 2016.