diff --git a/.gitignore b/.gitignore index 5a4b3a8..e0c7029 100644 --- a/.gitignore +++ b/.gitignore @@ -11,4 +11,6 @@ docs/_build *.swp *.orig env -dist/* \ No newline at end of file +dist/* +.ipynb_checkpoints/* +venv/ \ No newline at end of file diff --git a/README.md b/README.md index 04a639c..a9ba76c 100644 --- a/README.md +++ b/README.md @@ -23,11 +23,7 @@ You can fill in a bug report at the [issue tab](https://github.com/JoFrhwld/FAVE There may be a delay between when a bug is reported and when a bug is resolved. Developers prioritize bugs based on difficulty, importance, and other factors, so bug reports are usually not handled in the order they are received. ## Attribution -[![DOI](https://zenodo.org/badge/13744621.svg)](https://zenodo.org/badge/latestdoi/13744621) -![GitHub](https://img.shields.io/github/license/JoFrhwld/FAVE) -![GitHub](https://img.shields.io/badge/Python-3.8%2B-brightgreen) -[![PyPI version fury.io](https://badge.fury.io/py/fave.svg)](https://pypi.python.org/pypi/fave/) - +[![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.22281.svg)](http://dx.doi.org/10.5281/zenodo.22281) As of v1.1.3 onwards, releases from this repository will have a DOI associated with them through Zenodo. The DOI for the current release is [10.5281/zenodo.22281](http://dx.doi.org/10.5281/zenodo.22281). We would recommend the citation: Rosenfelder, Ingrid; Fruehwald, Josef; Brickhouse, Christian; Evanini, Keelan; Seyfarth, Scott; Gorman, Kyle; Prichard, Hilary; Yuan, Jiahong; 2022. FAVE (Forced Alignment and Vowel Extraction) Program Suite v2.0.0 */zenodo.* diff --git a/fave/align/aligner.py b/fave/align/aligner.py index 05da3c0..29bd651 100644 --- a/fave/align/aligner.py +++ b/fave/align/aligner.py @@ -42,7 +42,7 @@ from . import transcriptprocessor from fave import cmudictionary from fave import praat - +import parselmouth class Aligner(): """ @@ -129,21 +129,23 @@ def get_duration(self, FADIR='', PRAATPATH=''): f.close() duration = round((nx / sr), 3) except wave.Error: # wave.py does not seem to support 32-bit .wav files??? - self.logger.debug('Script path is %s',os.path.join( - FADIR, "praatScripts", "get_duration.praat")) - if PRAATPATH: - dur_command = "%s %s %s" % (PRAATPATH, os.path.join( - FADIR, "praatScripts", "get_duration.praat"), self.audio) - else: - dur_command = "praat %s %s" % (os.path.join( - FADIR, "praatScripts", "get_duration.praat"), self.audio) - duration = round( - float( - subprocess.Popen( - dur_command, - shell=True, - stdout=subprocess.PIPE).communicate()[0].strip()), - 3) + sound = parselmouth.Sound(self.audio) + duration = round(sound.duration, 3) + # self.logger.debug('Script path is %s',os.path.join( + # FADIR, "praatScripts", "get_duration.praat")) + # if PRAATPATH: + # dur_command = "%s %s %s" % (PRAATPATH, os.path.join( + # FADIR, "praatScripts", "get_duration.praat"), self.audio) + # else: + # dur_command = "praat %s %s" % (os.path.join( + # FADIR, "praatScripts", "get_duration.praat"), self.audio) + # duration = round( + # float( + # subprocess.Popen( + # dur_command, + # shell=True, + # stdout=subprocess.PIPE).communicate()[0].strip()), + # 3) return duration diff --git a/fave/align/transcriptprocessor.py b/fave/align/transcriptprocessor.py index 34e0957..d9a2d95 100644 --- a/fave/align/transcriptprocessor.py +++ b/fave/align/transcriptprocessor.py @@ -247,13 +247,7 @@ def read_transcription_file(self): """Reads file into memory""" with open(self.file) as f: lines = self.replace_smart_quotes(f.readlines()) - self.lines = lines - try: - float(lines[0].split('\t')[2]) - except ValueError: - # Log a warning about having detected a header row - self.logger.warning('Header row was detected') - del lines[0] + self.lines = lines # substitute any 'smart' quotes in the input file with the corresponding # ASCII equivalents (otherwise they will be excluded as out-of- diff --git a/fave/extractFormants.py b/fave/extractFormants.py index 8e2f76a..8120569 100755 --- a/fave/extractFormants.py +++ b/fave/extractFormants.py @@ -62,6 +62,7 @@ """ +from curses.ascii import SO import sys import os import shutil @@ -76,8 +77,11 @@ from itertools import tee, islice from bisect import bisect_left +import parselmouth +from deprecated.sphinx import deprecated +from deprecated.sphinx import versionadded +from deprecated.sphinx import versionchanged import numpy as np - from tqdm import tqdm import fave @@ -85,6 +89,7 @@ from fave.extract import plotnik from fave.extract import vowel from fave import praat +from fave import parselmouth_bridge from fave import cmudictionary as cmu from fave.extract.remeasure import remeasure from fave.extract.mahalanobis import mahalanobis @@ -101,7 +106,7 @@ SPECIAL = ['BR', 'CG', 'LS', 'LG', 'NS'] -# + class Phone: @@ -444,7 +449,7 @@ def checkLocation(file): print("ERROR: Could not locate %s" % file) sys.exit() - +@deprecated(version="2.1.0",reason="External speech software will not be supported.") def checkSpeechSoftware(speechSoftware): """checks that either Praat or ESPS is available as a speech analysis program""" @@ -467,7 +472,6 @@ def checkSpeechSoftware(speechSoftware): print("ERROR: unsupported speech analysis software %s" % speechSoftware) sys.exit() - def checkTextGridFile(tgFile): """checks whether a TextGrid file exists and has the correct file format""" @@ -560,7 +564,7 @@ def detectMonophthong(formants, measurementPoint, index): return glide - +@deprecated(version="2.1",reason="Parselmouth migration replaces SoX") def extractPortion(wavFile, vowelWavFile, beg, end, soundEditor): """extracts a single vowel (or any other part) from the main sound file""" @@ -575,7 +579,6 @@ def extractPortion(wavFile, vowelWavFile, beg, end, soundEditor): else: pass - def faav(phone, formants, times, intensity): """returns the time of measurement according to the FAAV guidelines""" @@ -739,23 +742,6 @@ def getPadding(phone, windowSize, maxTime): return (padBeg, padEnd) - -def getSoundEditor(): - """checks whether SoX or Praat are available as sound editors""" - - # use sox for manipulating the files if we have it, since it's faster - if (SOXPATH and programExists('sox', SOXPATH)) or (os.name == 'posix' and programExists('sox')) or (os.name == 'nt' and programExists('sox.exe')): - soundEditor = 'sox' - elif (PRAATPATH and programExists('praat', PRAATPATH)) or (os.name == 'posix' and programExists('praat')) or (os.name == 'nt' and programExists('praatcon.exe')): - soundEditor = 'praat' - else: - print("ERROR: neither 'praat' ('praatcon' for Windows) nor 'sox' can be found in your path") - print("One of these two programs must be available for processing the audio file") - sys.exit() - - return soundEditor - - def getSpeakerBackground(speakername, speakernum): """prompts the user to enter background information for a given speaker""" @@ -858,53 +844,47 @@ def getTransitionLength(minimum, maximum): return transition -def getVowelMeasurement(vowelFileStem, p, w, speechSoftware, formantPredictionMethod, measurementPointMethod, nFormants, maxFormant, windowSize, preEmphasis, padBeg, padEnd, speaker): +def getVowelMeasurement(sound_part, p, w, formantPredictionMethod, measurementPointMethod, nFormants, maxFormant, windowSize, preEmphasis, padBeg, padEnd, speaker): """makes a vowel measurement""" - vowelWavFile = vowelFileStem + '.wav' - - # get necessary files (LPC or formant) - # via ESPS: ## NOTE: I haven't checked the path issues for the ESPS - # option yet... - if speechSoftware == 'esps': - esps.runFormant(vowelWavFile) - if formantPredictionMethod == 'mahalanobis': - lpc = esps.LPC() - lpc.read(vowelFileStem + '.pole') - else: - fmt = esps.Formant() - fmt.read(vowelFileStem + '.pole', vowelFileStem + '.fb') - # clean up the temporary files we created for this vowel - esps.rmFormantFiles(vowelFileStem) - # via Praat: ## NOTE: all temp files are in the "/bin" directory! - else: # assume praat here - if formantPredictionMethod == 'mahalanobis': - # get measurements for nFormants = 3, 4, 5, 6 - LPCs = [] - nFormants = 3 - while nFormants <= 6: - os.system(os.path.join(PRAATPATH, PRAATNAME) + ' ' + os.path.join(SCRIPTS_HOME, 'extractFormants.praat') + ' ' + - vowelWavFile + ' ' + str(nFormants) + ' ' + str(maxFormant) + ' ' ' ' + str(windowSize) + ' ' + str(preEmphasis) + ' burg') - lpc = praat.Formant() - lpc.read(os.path.join(SCRIPTS_HOME, vowelFileStem + '.Formant')) - LPCs.append(lpc) - nFormants += 1 - else: - os.system(os.path.join(PRAATPATH, PRAATNAME) + ' ' + os.path.join(SCRIPTS_HOME, 'extractFormants.praat') + ' ' + - vowelWavFile + ' ' + str(nFormants) + ' ' + str(maxFormant) + ' ' + str(windowSize) + ' ' + str(preEmphasis) + ' burg') - fmt = praat.Formant() - fmt.read(os.path.join(SCRIPTS_HOME, vowelFileStem + '.Formant')) - os.remove(os.path.join(SCRIPTS_HOME, vowelFileStem + '.Formant')) - # get Intensity object for intensity cutoff - # (only for those vowels where we need it) - if (p.label[:-1] in ["AY", "EY", "OW", "AW"]) or (p.label[:-1] == "UW" and p.cd == "73"): - os.system(os.path.join(PRAATPATH, PRAATNAME) + ' ' + os.path.join(SCRIPTS_HOME, 'getIntensity.praat') + ' ' + vowelWavFile) - intensity = praat.Intensity() - intensity.read(os.path.join(SCRIPTS_HOME, vowelFileStem + '.Intensity')) - os.remove(os.path.join(SCRIPTS_HOME, vowelFileStem + '.Intensity')) - intensity.change_offset(p.xmin - padBeg) + if formantPredictionMethod == 'mahalanobis': + # get measurements for nFormants = 3, 4, 5, 6 + LPCs = [] + nFormants = 3 + while nFormants <= 6: + formants = sound_part.to_formant_burg(time_step = 0.001, + max_number_of_formants = nFormants, + maximum_formant = maxFormant, + window_length = windowSize, + pre_emphasis_from = preEmphasis) + lpc = parselmouth_bridge.Formant(formant_obj=formants, maxFormant=nFormants) + LPCs.append(lpc) + nFormants += 1 + else: + formants = sound_part.to_formant_burg(time_step = 0.001, + max_number_of_formants = nFormants, + maximum_formant = maxFormant, + window_length = windowSize, + pre_emphasis_from = preEmphasis) + + fmt = parselmouth_bridge.Formant(formant_obj = formants, maxFormant=maxFormant) + # get Intensity object for intensity cutoff + # (only for those vowels where we need it) + if (p.label[:-1] in ["AY", "EY", "OW", "AW"]) or (p.label[:-1] == "UW" and p.cd == "73"): + duration = sound_part.duration + if duration >= 0.064: + intensity_pm = sound_part.to_intensity(minimum_pitch = 100, + time_step = 0.001, + subtract_mean = True) else: - intensity = praat.Intensity() + analysis_freq = 6.4 / duration + intensity_pm = sound_part.to_intensity(minimum_pitch = analysis_freq, + time_step = 0.001, + subtract_mean = True) + intensity = parselmouth_bridge.Intensity(intensity_pm) + intensity.change_offset(p.xmin - padBeg) + else: + intensity = praat.Intensity() # get measurement according to formant prediction method # Mahalanobis: if formantPredictionMethod == 'mahalanobis': @@ -927,7 +907,6 @@ def getVowelMeasurement(vowelFileStem, p, w, speechSoftware, formantPredictionMe vm = measureVowel(p, w, formants, bandwidths, convertedTimes, intensity, measurementPointMethod, formantPredictionMethod, padBeg, padEnd, '', '') - os.remove(os.path.join(SCRIPTS_HOME, vowelWavFile)) return vm @@ -1068,14 +1047,20 @@ def maximumIntensity(intensities, times): def mean_stdv(valuelist): """returns the arithmetic mean and sample standard deviation (N-1 in the denominator) of a list of values""" - np_valuelist = np.array(valuelist,dtype=np.float64) - if len(np_valuelist) > 0: - if len(np_valuelist) == 1: + n = len(valuelist) + if n > 0: + if n == 1: mean = valuelist[0] stdv = 0 else: - mean = np.nanmean(np_valuelist) - stdv = np.nanstd(np_valuelist, ddof=1) + sum_i = 0 + for i in range(n): + sum_i += valuelist[i] + mean = sum_i / n + diffsum_i = 0 + for i in range(n): + diffsum_i += (valuelist[i] - mean) ** 2 + stdv = math.sqrt(diffsum_i / (n - 1)) else: # empty list mean = None @@ -1092,8 +1077,9 @@ def measureVowel(phone, word, poles, bandwidths, times, intensity, measurementPo # check that smoothing is possible for the value of nSmoothing and the length of the vowel # (e.g. impossible to do a 25ms-window smoothing (default) on a 24ms vowel) # (second condition is for methods that add a 20 ms transition at the beginning of the vowel) - if 2 * nSmoothing + 1 > len(times[0]): - print("ERROR! Vowel %s in word %s is too short to be measured with selected value for smoothing parameter." % (phone.label, word.transcription)) + if (2 * nSmoothing + 1) > len(times[0]): + print(len(times)) + #print("ERROR! Vowel %s in word %s is too short to be measured with selected value for smoothing parameter." % (phone.label, word.transcription)) return None else: poles = [smoothTracks(p, nSmoothing) for p in poles] @@ -1612,7 +1598,7 @@ def predictF1F2(phone, selectedpoles, selectedbandwidths, means, covs): if vowel in means: for poles, bandwidths in zip(selectedpoles, selectedbandwidths): # check that there are at least two formants in the selected frame - if len(poles) >= 2: + if np.count_nonzero(~np.isnan(poles)) >= 2: # nPoles = len(poles) ## number of poles # check all possible combinations of F1, F2, F3: # for i in range(min([nPoles - 1, 2])): @@ -1639,7 +1625,7 @@ def predictF1F2(phone, selectedpoles, selectedbandwidths, means, covs): else: # if there are gaps in the formant tracks and the vowel duration is # short, the whole formant track may disappear during smoothing - if len(poles) == 1 and len(bandwidths) == 1: + if np.count_nonzero(~np.isnan(poles)) == 1 and np.count_nonzero(~np.isnan(bandwidths)) == 1: values.append([poles[0], '', bandwidths[0], '', '', '']) else: values.append(['', '', '', '', '', '']) @@ -1697,26 +1683,6 @@ def processInput(wavInput, tgInput, output): outputFiles = open(output, 'r').read().splitlines() return (wavFiles, tgFiles, outputFiles) - -def programExists(program, path=''): - """checks whether a given command line program exists (path can be specified optionally)""" - - if not path: - if os.name == 'posix': - pathDirs = os.environ['PATH'].split(':') - elif os.name == 'nt': - pathDirs = os.environ['PATH'].split(';') - else: - print("ERROR: did not recognize OS type '%s'. Paths to 'praat' and 'sox' must be specified manually" % os.name) - sys.exit() - for p in pathDirs: - if os.path.isfile(os.path.join(p, program)): - return True - return False - else: # path is specified - return os.path.isfile(os.path.join(path, program)) - - def readSpeakerFile(speakerFile): """reads speaker background information from a speaker file""" @@ -1777,9 +1743,6 @@ def readSpeakerFile(speakerFile): global vowelSystem vowelSystem = value - - - return speaker def setup_parser(): @@ -1823,8 +1786,6 @@ def setup_parser(): help="Do a second pass is performed on the data, using the speaker's own system as the base of comparison for the Mahalanobis distance") parser.add_argument("--removeStopWords", action="store_true", help="Don't measure vowels in stop words." ) - parser.add_argument("--speechSoftware", choices = ['praat', 'Praat', 'esps', 'ESPS'], default = "Praat", - help="The speech software program to be used for LPC analysis.") parser.add_argument("--speaker", "-s", help = "*.speaker file, if used") parser.add_argument("--stopWords", nargs="+", default=["AND", "BUT", "FOR", "HE", "HE'S", "HUH", "I", "I'LL", "I'M", "IS", "IT", "IT'S", "ITS", "MY", "OF", "OH", @@ -1863,13 +1824,13 @@ def smoothTracks(poles, s): for i in range(s, len(poles) - s): # start with values at point i; check that center point values are # defined - if len(poles[i]) > n: + if np.count_nonzero(~np.isnan(poles[i])) > n: smoothedF = poles[i][n] # add samples on both sides for j in range(1, s + 1): # again, check that all values are defined # (center point of smoothing might be defined, but parts of the window might not be!) - if len(poles[i + j]) > n and len(poles[i - j]) > n: + if np.count_nonzero(~np.isnan(poles[i + j])) > n and np.count_nonzero(~np.isnan(poles[i - j])) > n: smoothedF += poles[i + j][n] + poles[i - j][n] else: # NOTE: If part of the smoothing window is not defined, then no new value should be produced @@ -1992,7 +1953,6 @@ def writeLog(filename, wavFile, maxTime, meansFile, covsFile, opts): f.write("- nSmoothing:\t\t\t%i\n" % opts.nSmoothing) f.write("- windowSize:\t\t\t%.3f\n" % opts.windowSize) f.write("- preEmphasis:\t\t\t%i\n" % opts.preEmphasis) - f.write("- speechSoftware:\t\t%s\n" % opts.speechSoftware) f.write("- outputFormat:\t\t\t%s\n" % opts.outputFormat) f.write("- outputHeader:\t\t\t%s\n" % (not opts.noOutputHeader)) f.write("- case:\t\t\t\t%s\n" % opts.case) @@ -2092,7 +2052,6 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): formantPredictionMethod = opts.formantPredictionMethod measurementPointMethod = opts.measurementPointMethod mfa = opts.mfa - speechSoftware = opts.speechSoftware nFormants = opts.nFormants #maxFormant = opts.maxFormant nSmoothing = opts.nSmoothing @@ -2112,14 +2071,6 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): phoneset = cmu.read_phoneset(opts.phoneset) print("Read CMU phone set.") - # make sure the specified speech analysis program is in our path - speechSoftware = checkSpeechSoftware(opts.speechSoftware) - print("Speech software to be used is %s." % speechSoftware) - - # determine what program we'll use to extract portions of the audio file - soundEditor = getSoundEditor() - print("Sound editor to be used is %s." % soundEditor) - # if we're using the Mahalanobis distance metric for vowel formant prediction, # we need to load files with the mean and covariance values if formantPredictionMethod == 'mahalanobis': @@ -2151,6 +2102,8 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): checkWavFile(wavFile) checkTextGridFile(tgFile) + sound = parselmouth.Sound(wavFile) + # this will be used for the temporary files that we write fileStem = os.path.basename(wavFile).replace('.wav','') @@ -2190,31 +2143,10 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): markTime("prelim2") - #if not opts.verbose: - # n_words = len(words) - # word_iter = 0 - # old_percent = 0 - - # progressbar_width = 100 - # sys.stdout.write("\nExtracting Formants\n") - # sys.stdout.write("[%s]" % (" " * progressbar_width)) - # sys.stdout.flush() - # sys.stdout.write("\b" * (progressbar_width + 1)) - # # return to start of line, after '[' pbar = tqdm(range(len(words))) for pre_w, w, fol_w in window(words, window_len = 3): - - # if not opts.verbose: - # word_iter = word_iter + 1 - # new_percent = math.floor((float(word_iter) / n_words) * 100) - - # for p in range(int(old_percent), int(new_percent)): - # sys.stdout.write("-") - # sys.stdout.flush() - # old_percent = new_percent - # skip unclear transcriptions and silences if w.transcription == '' or w.transcription == "((xxxx))" or w.transcription.upper() == "SP": pbar.update(1) @@ -2319,11 +2251,6 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): fol_seg = w.phones[p_index+1].label - - vowelFileStem = fileStem + '_' + \ - p.label # name of sound file - ".wav" + phone label - vowelWavFile = vowelFileStem + '.wav' - if opts.verbose: print('') print("Extracting formants for vowel %s in word %s at %.3f" % (p.label, w.transcription, w.xmin)) @@ -2336,9 +2263,9 @@ def extractFormants(wavInput, tgInput, output, opts, SPATH='', PPATH=''): # windowSize: from config file or default settings # maxTime = duration of sound file/TextGrid - extractPortion(wavFile, vowelWavFile, p.xmin - padBeg, p.xmax + padEnd, soundEditor) - - vm = getVowelMeasurement(vowelFileStem, p, w, opts.speechSoftware, + sound_part = sound.extract_part(from_time = p.xmin - padBeg, + to_time = p.xmax + padEnd) + vm = getVowelMeasurement(sound_part, p, w, formantPredictionMethod, measurementPointMethod, nFormants, maxFormant, windowSize, preEmphasis, padBeg, padEnd, speaker) if vm: # if vowel is too short for smoothing, nothing will be returned diff --git a/fave/parselmouth_bridge.py b/fave/parselmouth_bridge.py new file mode 100644 index 0000000..69c6da0 --- /dev/null +++ b/fave/parselmouth_bridge.py @@ -0,0 +1,147 @@ +import parselmouth +from deprecated.sphinx import versionadded + +@versionadded(version="2.1") +class Formant(): + """Bridge the parselmouth.Formant API with our scripting needs. + """ + def __init__(self, formant_obj, maxFormant): + """Create an instance from a parselmouth.Formant instance + + :param formant_obj: A parselmouth.Formant instance. + :param maxFormant: Currently unused + """ + self.__pm_formant = formant_obj + self.__maxFormant = maxFormant + self.__intensities = [] + + def __formant_iter( self, function, range_ ): + """Takes a callback function from parselmouth.Formant and applies a loop + + :param function: A parselmouth.Formant method which will be called in this loop. + :type function: function + :param range_: A tuple or list passed to `range()` specifying which formants to loop over. + N.B. `range_` is inclusive on the lower bound, exclusive on the upper bound, so (1,4) will + give formants 1 through 3, and not 4. + :type range_: tuple|list + :return: The measures output by the callback function. Each list item is a list of formant + measurements for the given time input. + :rtype: list + """ + ret = [] + for t in self.times(): + vals = [] + for n in range(*range_): + vals.append( function(formant_number = n, time = t) ) + ret.append(vals) + return ret + + def times(self): + """Wrapper around parselmouth.Formant.ts + + :rtype: list + """ + return list(self.__pm_formant.ts()) + + def formants(self, range_ = (1,4)): + """Returns formant measures at each time point. + + :param range_: The range of formants to measure passed to `range()`, defaults to (1,4). + N.B. `range_` is inclusive on the lower bound, exclusive on the upper bound, so (1,4) will + give formants 1 through 3, and not 4. + :type range_: tuple|list + :return: Formant measurements. Each list item is a list of formant + measurements for the given time input. + :rtype: list + """ + return self.__formant_iter( + self.__pm_formant.get_value_at_time, + range_ + ) + + def bandwidths(self, range_ = (1,4)): + """Returns formant bandwidth measures at each time point. + + :param range_: The range of formants to measure passed to `range()`, defaults to (1,4). + N.B. `range_` is inclusive on the lower bound, exclusive on the upper bound, so (1,4) will + give formants 1 through 3, and not 4. + :type range_: tuple|list + :return: Bandwidth measurements. Each list item is a list of bandwidth + measurements for the given time input. + :rtype: list + """ + return self.__formant_iter( + self.__pm_formant.get_bandwidth_at_time, + range_ + ) + + def xmin(self): + """Wrapper around parselmouth.Formant.xmin + + :rtype: float? + """ + return self.__pm_formant.xmin + + def xmax(self): + """Wrapper around parselmouth.Formant.xmax + + :rtype: float? + """ + return self.__pm_formant.xmax + + def n(self): + """Wrapper around parselmouth.Formant.nx + + :rtype: int? + """ + return self.__pm_formant.nx + + @property + def intensities(self): + return self.__intensities + +@versionadded(version="2.1") +class Intensity(): + def __init__(self, pm_intensity): + self.__pm_intensity = pm_intensity + self.offset = 0 + + def xmin(self): + return self.__pm_intensity.xmin + self.offset + + def xmax(self): + return self.__pm_intensity.xmax + self.offset + + def n(self): + return self.__pm_intensity.n + + def nx(self): + return self.__pm_intensity.nx + + def dx(self): + return self.__pm_intensity.dx + + def x1(self): + return self.__pm_intensity.x1 + self.offset + + def times(self): + return [x + self.offset for x in list(self.__pm_intensity.ts())] + + def intensities(self): + return [self.__pm_intensity.get_value(time = t) for t in self.times()] + + def change_offset(self, offset): + self.offset = offset + + def __str__(self): + return '' % self.__n + + def __iter__(self): + return iter(self.__intensities) + + def __len__(self): + return self.__n + + def __getitem__(self, i): + """returns the (i+1)th intensity frame""" + return self.intensities()[i] diff --git a/fave/praat.py b/fave/praat.py index fb183ac..1aff79e 100644 --- a/fave/praat.py +++ b/fave/praat.py @@ -1,23 +1,19 @@ -# -# !!! This is NOT the original praat.py file !!! ## -# -# Last modified by Ingrid Rosenfelder: February 2, 2012 ## -# - comments (all comments beginning with a double pound sign ("##")) ## -# - docstrings for all classes and functions ## -# - read() methods for TextGrid can read both long and short file formats ## -# - formant frames no longer need to have a minimum of x formants (formerly three) ## -# (smoothing routine in extractFormants.py demands equal spacing between frames) ## -# - added Intensity class ## -# - round all times to three digits (i.e. ms) ## -# - improved reading of long TextGrid format ## -# - - -class Formant: +import parselmouth +from deprecated.sphinx import deprecated - """represents a formant contour as a series of frames""" +from fave import parselmouth_bridge as pm_bridge - def __init__(self, name=None): +@deprecated(version="2.1",reason="fave.praat.Formant is deprecated in favor of fave.parselmouth_bridge.") +class Formant(): + """represents a formant contour as a series of frames""" + def __init__(self, name=None, formant = None, maxFormant = None): + self.blanks() # Set empty by default + if isinstance(formant, parselmouth.Formant): + pm_formant = pm_bridge.Formant(formant, maxFormant) + self.__dict__ = pm_formant.__dict__ # replace this instance with the pm_bridge + + def blanks(self): + """empty entries""" self.__times = [] # list of measurement times (frames) self.__intensities = [] # list of intensities (maximum intensity in each frame) @@ -25,9 +21,9 @@ def __init__(self, name=None): # list of formants frequencies (F1-F3, for each frame) self.__bandwidths = [] # list of bandwidths (for each formant F1-F3, for each frame) - # !!! CHANGED: all above lists no longer include frames with only - # a minimum of 2 formant measurements - # !!! + # !!! CHANGED: all above lists no longer include frames with only + # a minimum of 2 formant measurements + # !!! self.__xmin = None # start time (in seconds) self.__xmax = None # end time (in seconds) self.__nx = None # number of frames @@ -35,6 +31,7 @@ def __init__(self, name=None): self.__x1 = None # start time of first frame (in seconds) self.__maxFormants = None # maximum number of formants in a frame + def n(self): """returns the number of frames""" return self.__nx @@ -150,7 +147,6 @@ def read(self, file): class LPC: - """represents a Praat LPC (linear predictive coding) object""" def __init__(self): @@ -290,11 +286,14 @@ def read(self, file): text.close() +@deprecated(version="2.1",reason="fave.praat.Intensity is deprecated in favor of fave.parselmouth_bridge.") class Intensity: - """represents an intensity contour""" - - def __init__(self): + def __init__(self, intensity = None): + if intensity and isinstance(intensity, parselmouth.Intensity): + pmi = pm_bridge.Intensity(intensity) 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