![]() getValuesInIntervals ( pitchList ) matchedIntervals. crop ( start, stop, "truncated", False ) intervalDataList = croppedTier. entryList ) # 3 - isolate the relevant pitch values matchedIntervals = intervalDataList = for entry in nameIntervals : start, stop, label = entry croppedTier = targetTier. find ( name ) for i in findMatches : nameIntervals. tierDict for name in nameList : findMatches = targetTier. extractPitch ( join ( rootPath, wavName ), join ( pitchPath, pitchName ), praatEXE, 50, 350, forceRegenerate = True ) # 2 - find the intervals where a name was spoken nameIntervals = targetTier = tg. openTextgrid ( join ( rootPath, tgName )) # 1 - get pitch values pitchList = pitch_and_intensity. Import os from os.path import join from praatio import tgio from praatio import pitch_and_intensity # For pitch extraction, we need the location of praat on your computer praatEXE = r "C:\Praat.exe" #praatEXE = "/Applications/Praat.app/Contents/MacOS/Praat" rootPath = join ( '.', 'examples', 'files' ) pitchPath = join ( rootPath, "pitch_extraction", "pitch" ) fnList = # The names of interest - in an example working with more data, this would be more comprehensive nameList = outputList = for wavName, tgName in fnList : pitchName = os. ![]() Let's see the effects of these different arguments: RebaseToZero - if True, the entry time values will be subtracted by startTime. if True and strictFlag is False, partially contained boundaries will extend the boundaries of the crop interval SoftFlag - if False, the crop boundaries are firm. If False, all intervals that are at least partially contained will be included in the cropped textgrid. Intervals that are partially contained are not included. StrictFlag - if True, only wholly contained intervals will be included in the output. StartTime, endTime - these are the start and end times that define the crop region. Using crop() you can get a.well.cropped TextGrid.Ĭrop(startTime, endTime, strictFlag, softFlag, rebaseToZero) The last function to look at with TextGrids is also a very useful and powerful one. Overlapping intervals on different tiers will have their labels combined by this process. Tg.mergeTiers() will merge all tiers into a single tier. collisionCode determines what happens to segments that span the start location of the insertion. Tg.insertSpace(start, duration, collisionCode) will insert a blank segment into a textgrid. The erased segment can be left blank, or the textgrid can shrink Tg.eraseRegion(start, stop, doShrink) will erase a segment of a textgrid. Tg.appendTextgrid(tg2) will append tg2 to the end of tg-modifying all of the times in tg2 so that they appear chronologically after tg. But there are some other functions which I'll mention briefly here. The above featured functions are perhaps the most useful functions in praatio. There is a more condensed version of the TextGrid which contains the same information but without the extraneous text that makes the below example so easy to read. They too have a few properties defined, followed by the intervals and points that they contain. Then the tiers are presented in order of appearance. The TextGrid has a few properties defined-min and max times (the start and end of textgrid with respect to the audio file) and the number of tiers. Praat has its own plain text format for working TextGrids. And 'maxF0' marks the highest peaks of the pitch contour (the blue curve superimposed over the spectrogram) for each word. 'phone' marks the phonemes-the consonants and vowels of the words. In this example the textgrid contains two interval tiers and a point tier (named 'phone', 'word', and 'maxF0' respectively). Etc.īelow is a sample textgrid as seen in Praat, with accompanying wavfile. PointTiers are used for annotating instaneous events. IntervalTiers are used to annotate events that have duration. There are two kinds of tiers: IntervalTiers and PointTiers. Each layer of analysis is known as a tier. ![]() More specifically, a TextGrid, used by Praat or PraatIO, is a collection of independent annotation analyses for a given audio recording. Praat calls its transcript files TextGrids, and the same terminology is used here. The heart of any speech analysis is a transcript. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |