speech-scoring/create_triplets.py

import pandas as pd

audio_file = pd.read_csv('./outputs/audio.csv',names=['word','voice','rate','type','filename'])
word_goups = audio_file.groupby('word')
# audio
lst = [1, 2, 3, 1, 2, 3]
s = pd.Series([1, 2, 3, 10, 20, 30], lst)
df3 = pd.DataFrame({'X' : ['A', 'B', 'A', 'B'], 'Y' : [1, 4, 3, 2]})

s.groupby(level=0).sum()
created triplet code wip 2017-10-06 05:31:16 +00:00			`import pandas as pd`

			`audio_file = pd.read_csv('./outputs/audio.csv',names=['word','voice','rate','type','filename'])`
			`word_goups = audio_file.groupby('word')`
			`# audio`
			`lst = [1, 2, 3, 1, 2, 3]`
			`s = pd.Series([1, 2, 3, 10, 20, 30], lst)`
			`df3 = pd.DataFrame({'X' : ['A', 'B', 'A', 'B'], 'Y' : [1, 4, 3, 2]})`
1. implemented spectrogram generator for audio files 2. imported siamese network class (wip) 3. added similarity measure based phoneme neighbor generator 4. fixed samplegen variants code 5. create triplets (wip) 6. updates 2017-10-13 11:10:57 +00:00
created triplet code wip 2017-10-06 05:31:16 +00:00			`s.groupby(level=0).sum()`