This program can read single wav for MFCC feature extraction, i need program that can read multiple wav and...

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This program can read single wav for MFCC feature extraction, i need program that can read multiple wav and gives MFCC features

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav



(rate,sig) = wav.read("67_P.wav")

mfcc_feat = mfcc(sig,rate)

d_mfcc_feat = delta(mfcc_feat, 2)

fbank_feat = logfbank(sig,rate)



print(fbank_feat[1:3,:])

asked Nov 20 at 4:54

kkj

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up vote
0
down vote

favorite

This program can read single wav for MFCC feature extraction, i need program that can read multiple wav and gives MFCC features

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav



(rate,sig) = wav.read("67_P.wav")

mfcc_feat = mfcc(sig,rate)

d_mfcc_feat = delta(mfcc_feat, 2)

fbank_feat = logfbank(sig,rate)



print(fbank_feat[1:3,:])

asked Nov 20 at 4:54

kkj

add a comment |

up vote
0
down vote

favorite

This program can read single wav for MFCC feature extraction, i need program that can read multiple wav and gives MFCC features

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav



(rate,sig) = wav.read("67_P.wav")

mfcc_feat = mfcc(sig,rate)

d_mfcc_feat = delta(mfcc_feat, 2)

fbank_feat = logfbank(sig,rate)



print(fbank_feat[1:3,:])

asked Nov 20 at 4:54

kkj

This program can read single wav for MFCC feature extraction, i need program that can read multiple wav and gives MFCC features

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav



(rate,sig) = wav.read("67_P.wav")

mfcc_feat = mfcc(sig,rate)

d_mfcc_feat = delta(mfcc_feat, 2)

fbank_feat = logfbank(sig,rate)



print(fbank_feat[1:3,:])

python numpy

asked Nov 20 at 4:54

kkj

asked Nov 20 at 4:54

kkj

asked Nov 20 at 4:54

kkj

asked Nov 20 at 4:54

kkj

asked Nov 20 at 4:54

kkj

add a comment |

1 Answer
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up vote
0
down vote

I do not understand exactly what you want but I am guessing you need something like this.

Assuming the folder name that you have stored the .wav files is "data",

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav

import os



data_path = "data/"



for filename in os.listdir(data_path):

    (rate,sig) = wav.read(data_path + filename)

    mfcc_feat = mfcc(sig,rate)

    d_mfcc_feat = delta(mfcc_feat, 2)

    fbank_feat = logfbank(sig,rate)

    print filename

    print(fbank_feat[1:3,:])

This will read all the .wav files inside the data folder one by one and extract the features you want.

answered Nov 28 at 20:42

Thilina Dissanayake

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
0
down vote

I do not understand exactly what you want but I am guessing you need something like this.

Assuming the folder name that you have stored the .wav files is "data",

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav

import os



data_path = "data/"



for filename in os.listdir(data_path):

    (rate,sig) = wav.read(data_path + filename)

    mfcc_feat = mfcc(sig,rate)

    d_mfcc_feat = delta(mfcc_feat, 2)

    fbank_feat = logfbank(sig,rate)

    print filename

    print(fbank_feat[1:3,:])

This will read all the .wav files inside the data folder one by one and extract the features you want.

answered Nov 28 at 20:42

Thilina Dissanayake

add a comment |

up vote
0
down vote

I do not understand exactly what you want but I am guessing you need something like this.

Assuming the folder name that you have stored the .wav files is "data",

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav

import os



data_path = "data/"



for filename in os.listdir(data_path):

    (rate,sig) = wav.read(data_path + filename)

    mfcc_feat = mfcc(sig,rate)

    d_mfcc_feat = delta(mfcc_feat, 2)

    fbank_feat = logfbank(sig,rate)

    print filename

    print(fbank_feat[1:3,:])

This will read all the .wav files inside the data folder one by one and extract the features you want.

answered Nov 28 at 20:42

Thilina Dissanayake

add a comment |

up vote
0
down vote

I do not understand exactly what you want but I am guessing you need something like this.

Assuming the folder name that you have stored the .wav files is "data",

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav

import os



data_path = "data/"



for filename in os.listdir(data_path):

    (rate,sig) = wav.read(data_path + filename)

    mfcc_feat = mfcc(sig,rate)

    d_mfcc_feat = delta(mfcc_feat, 2)

    fbank_feat = logfbank(sig,rate)

    print filename

    print(fbank_feat[1:3,:])

This will read all the .wav files inside the data folder one by one and extract the features you want.

answered Nov 28 at 20:42

Thilina Dissanayake

I do not understand exactly what you want but I am guessing you need something like this.

Assuming the folder name that you have stored the .wav files is "data",

from python_speech_features import mfcc

from python_speech_features import delta

from python_speech_features import logfbank

import scipy.io.wavfile as wav

import os



data_path = "data/"



for filename in os.listdir(data_path):

    (rate,sig) = wav.read(data_path + filename)

    mfcc_feat = mfcc(sig,rate)

    d_mfcc_feat = delta(mfcc_feat, 2)

    fbank_feat = logfbank(sig,rate)

    print filename

    print(fbank_feat[1:3,:])

This will read all the .wav files inside the data folder one by one and extract the features you want.

answered Nov 28 at 20:42

Thilina Dissanayake

answered Nov 28 at 20:42

Thilina Dissanayake

answered Nov 28 at 20:42

Thilina Dissanayake

answered Nov 28 at 20:42

Thilina Dissanayake

add a comment |

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