1 / 16

Looking at Spectrogram in Praat cs4706, Jan 30

Looking at Spectrogram in Praat cs4706, Jan 30. Fadi Biadsy. Praat. http://www.fon.hum.uva.nl/praat/ Developed by Paul Boersma and David Weenink    Institute of Phonetic Sciences University of Amsterdam The Netherlands

yoko
Download Presentation

Looking at Spectrogram in Praat cs4706, Jan 30

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Looking at Spectrogram in Praatcs4706, Jan 30 Fadi Biadsy

  2. Praat • http://www.fon.hum.uva.nl/praat/ • Developed by Paul Boersma and David Weenink   Institute of Phonetic SciencesUniversity of AmsterdamThe Netherlands • General purpose speech tool: editing, segmentation and labeling, audio DSP, prosodic manipulation

  3. Praat • Pros: designed for speech analysis (not only sound edition or spectrogram visualization), nice GUI, scripting, active development and community, prosodic manipulation • Cons: limited scripting language, slow GUI

  4. Let’s… • See the pitch contour of Solfege: • Compare the spectrograms of 1.  It’s hard to recognize speech • It’s hard to wreck a nice beach • Record something with clipping • Record “it’s cool to play with praat” • Manipulate the pitch contour • Annotate this utterance

  5. Task1 • Record a file with all the vowels and look at the formants to see how they differ

  6. Task2 • Record files with each consonant class as defined by manner of articular/voiced and unvoiced, all in the context of the same vowel, to see what the spectrograms look like: /pax/, /tax/, /kax/; /bax/, /dax/, /gax/

  7. Task3 • Record something in a very loud voice, to produce clipping, and seewhat the waveform looks like

  8. Task4 • Create a sound from equation with noise, and try to filter the noise out

  9. Task5 • record speech with some noise (hum, transients) in the background andsee was the spectrogram tells them; try filter out the noise.

  10. Task6 • Record a sample of the same short sentence as angry speech, sadspeech, happy speech, and see what things (pitch contour, pitch mean andmax, intensity mean and max, spectral information) differ. choose something fully voiced if possible.

More Related