Trjtdtk

GraphicsGrid with a Label for each Column and Row

250 Floor Tower

Character escape sequences for ">"

Is it improper etiquette to ask your opponent what his/her rating is before the game?

What if a revenant (monster) gains fire resistance?

The screen of my macbook suddenly broken down how can I do to recover

Yosemite Fire Rings - What to Expect?

Argument list too long when zipping large list of certain files in a folder

Should I outline or discovery write my stories?

Did arcade monitors have same pixel aspect ratio as TV sets?

Why does the Sun have different day lengths, but not the gas giants?

Creepy dinosaur pc game identification

Where does the bonus feat in the cleric starting package come from?

Count the occurrence of each unique word in the file

Problem with TransformedDistribution

How could a planet have erratic days?

Longest common substring in linear time

Is "staff" singular or plural?

why `nmap 192.168.1.97` returns less services than `nmap 127.0.0.1`?

Approximating irrational number to rational number

Store Credit Card Information in Password Manager?

Removing files under particular conditions (number of files, file age)

How much character growth crosses the line into breaking the character

How do I color the graph in datavisualization?

Pre-Processing audio data for whale sound classification using CNN

What are some method for pre-processing data in OCR?Is pre-processing always neccessary?What pre processing should I use on data to feed into a CNN?Remedy feature distribution mismatch with pre-processingPre-trained CNN for one-shot learningLowercase texts before tokenizing as pre-processing step for alignmentAudio signal signal processing for background noise reduction or removaldata pre-processing before image classificationHow to preprocess stereo audio data for a CNN?Pre-processing on MRI images

0

1

$begingroup$

Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.

The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.

What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?

machine-learning python cnn data-cleaning preprocessing

share|improve this question

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

0

1

$begingroup$

Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.

The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.

What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?

machine-learning python cnn data-cleaning preprocessing

share|improve this question

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.

The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.

What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?

machine-learning python cnn data-cleaning preprocessing

share|improve this question

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this question

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 11 hours ago

Abhishek SinghAbhishek Singh

1

New contributor

Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 11 hours ago

Abhishek SinghAbhishek Singh

1