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File size: 6,720 Bytes
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import os
import shutil
import requests
import tarfile
import textgrid
import pandas as pd
import librosa
import numpy as np
from scipy.io import wavfile
class Emov:
def __init(self):
pass
def get_all_phone_with_timings(self, f='/home/weili/data/EMOV/1/amused_1-15_0001.TextGrid'):
"""get all phonemes of a sentence located in tg[1], and filter silence and empty parts, then convert to DataFrame
"""
tg = textgrid.TextGrid.fromFile(f)
# get phones and drop "sp", "sil" and empty strings
phones=[[el.minTime, el.maxTime, el.mark] for el in tg[1] if el.mark not in ['sil','sp','','spn']]
phones=pd.DataFrame(phones)
phones.columns=["start", "end", "phone"]
return phones
def convert(self):
for speaker in range(1, 5):
speaker_path = os.path.join("EMOV-DB", str(speaker))
for audio in os.listdir(speaker_path):
if audio[-4:] == ".wav":
audio_path = os.path.join(speaker_path, audio)
y, sr = librosa.load(audio_path)
textgrid_path = audio_path.replace("EMOV-DB", "EMOV").replace(".wav", ".TextGrid")
if os.path.exists(textgrid_path):
p = self.get_all_phone_with_timings(f=textgrid_path)
else:
# wavfile and textfile mismatch
continue
speech_segs = np.array([])
for interval in p.values:
speech_seg = y[int(interval[0]*sr): int(interval[1]*sr)]
speech_segs = np.append(speech_segs, speech_seg)
wavfile.write(textgrid_path.replace(".TextGrid", ".wav"), sr, speech_segs)
def prepare_mfa(self, clean=False):
def remove_punct(string):
punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
for x in string.lower():
if x in punctuations:
string = string.replace(x, " ")
return string.lower()
# create the textfile with the same name of wavfile
# 1. read transcripts
with open("EMOV-DB/cmuarctic.data", "r") as rf:
lines = rf.readlines()
label_to_transcript = {}
for line in lines:
line = line.split('"')
sent = line[1]
label = line[0].rstrip().split('_')[-1]
if label[0] == "b":
continue
label = label[1:]
sent = remove_punct(sent) # remove punct
sent = sent.replace("1908", "nineteen o eight")
sent = sent.replace("18", "eighteen")
sent = sent.replace("16", "sixteen")
sent = sent.replace("nightglow", "night glow")
sent = sent.replace("mr ", "mister ")
sent = sent.replace("mrs ", "misses ")
sent = sent.replace(" ", " ")
label_to_transcript[label] = sent
# 2. scan wavfiles and create textfiles
for speaker in range(1, 5):
speaker_path = os.path.join("EMOV-DB", str(speaker))
# for emotion in os.listdir(speaker_path):
# emotion_path = os.path.join(speaker_path, emotion)
for audio in os.listdir(speaker_path):
if audio[-4:] == ".wav":
textfile = audio[:-4] + ".lab"
label = audio.split('_')[-1].split('.')[0]
transcript = label_to_transcript[label]
if clean:
os.remove(os.path.join(speaker_path, textfile))
else:
with open(os.path.join(speaker_path, textfile), 'w') as wf:
wf.write(transcript)
def download(self):
download_links = [
"https://www.openslr.org/resources/115/bea_Amused.tar.gz",
"https://www.openslr.org/resources/115/bea_Angry.tar.gz",
"https://www.openslr.org/resources/115/bea_Disgusted.tar.gz",
"https://www.openslr.org/resources/115/bea_Neutral.tar.gz",
"https://www.openslr.org/resources/115/bea_Sleepy.tar.gz",
"https://www.openslr.org/resources/115/jenie_Amused.tar.gz",
"https://www.openslr.org/resources/115/jenie_Angry.tar.gz",
"https://www.openslr.org/resources/115/jenie_Disgusted.tar.gz",
"https://www.openslr.org/resources/115/jenie_Neutral.tar.gz",
"https://www.openslr.org/resources/115/jenie_Sleepy.tar.gz",
"https://www.openslr.org/resources/115/josh_Amused.tar.gz",
"https://www.openslr.org/resources/115/josh_Neutral.tar.gz",
"https://www.openslr.org/resources/115/josh_Sleepy.tar.gz",
"https://www.openslr.org/resources/115/sam_Amused.tar.gz",
"https://www.openslr.org/resources/115/sam_Angry.tar.gz",
"https://www.openslr.org/resources/115/sam_Disgusted.tar.gz",
"https://www.openslr.org/resources/115/sam_Neutral.tar.gz",
"https://www.openslr.org/resources/115/sam_Sleepy.tar.gz",
"http://www.festvox.org/cmu_arctic/cmuarctic.data"
]
target_directories = [
"EMOV-DB/1",
"EMOV-DB/1",
"EMOV-DB/1",
"EMOV-DB/1",
"EMOV-DB/1",
"EMOV-DB/2",
"EMOV-DB/2",
"EMOV-DB/2",
"EMOV-DB/2",
"EMOV-DB/2",
"EMOV-DB/3",
"EMOV-DB/3",
"EMOV-DB/3",
"EMOV-DB/4",
"EMOV-DB/4",
"EMOV-DB/4",
"EMOV-DB/4",
"EMOV-DB/4",
"EMOV-DB"
]
for directory in target_directories:
os.makedirs(directory, exist_ok=True)
for link, target_directory in zip(download_links, target_directories):
filename = os.path.basename(link)
file_path = os.path.join(target_directory, filename)
response = requests.get(link, stream=True)
if response.status_code == 200:
with open(file_path, 'wb') as file:
for chunk in response.iter_content(1024):
file.write(chunk)
print(f"download successed:{filename}")
if filename[-5:]!=".data":
with tarfile.open(file_path, 'r:gz') as tar:
tar.extractall(path=target_directory)
os.remove(file_path)
else:
print(f"download failed:{filename}")
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