This public repository provides tutorials to the students, usually related to recitations.
spring2019_tutorials's Introduction
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HW1 Part 2: Code for generate Mel spectrogram in
I'm interested in HW1 part 2 (Input Frame Mel features -> Predict Phoneme state), and I want to test my model on my audio voice data.
According to kaggle S2020 course
To convert the speech to a mel-spectrogram, it is segmented into little "frames", each 25ms wide, where the "stride" between adjacent frames is 10ms. Thus we get 100 such frames per second of speech.
Thus, for a T-second recording, the entire spectrogram is a 100T x 40 matrix, comprising 100T 40- dimensional vectors (at 100 vectors (frames) per second).
But the dataset provided on this homework is already converted to mel-spectrogram without further explain on the process and other config of mel (Apply preprocessing, resample, normalize amplitude, frequency range).
Can you please give the source to generate your dataset ? Thank you
get_data not available
Thanks for sharing these series of notebook with us.
I just started and got stuck by
"from dataloader import get_data"
I wonder if this is an external file that is missing from the folder or this refers to the dataloader package ? if the later, the get_data does not exist.
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-6-80d340b35860> in <module>()
1 import pickle,csv
----> 2 from dataloader import get_data
/Users/opt/anaconda3/envs/CMU/lib/python3.7/site-packages/dataloader/__init__.py in <module>()
----> 1 from dataloader import read_data_sets
ImportError: cannot import name 'read_data_sets' from 'dataloader' (/Users/opt/anaconda3/envs/CMU/lib/python3.7/site-packages/dataloader/__init__.py)
I also looked into the previous years but seems nobody really had a similar issue. I appreciate your comments.
assignment answers
Could you please open source the assignment answers, I have done assignments but I do not know whether it is right. I would really appreciate it if you could help me.
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