Audio-related resource recommendation (involving machine learning, deep learning)
UIUC has a good course on signal processing
https://courses.engr.illinois.edu/cs598ps/fa2018/material.html
course by the top researchers in the field of audio processing Smarr a Paris-Ladis (Paris Smaragdis) opened.
Google research conducted in the audio field
https://research.google.com/audioset/
discussion on fast.ai audio depth study carried out and upload a number of related resources
https://forums.fast.ai/t/deep -learning-with-audio-thread / 38123
Professor Michael Mandel called a "voice and audio comprehension" of course
http://mr-pc.org/t/csc83060/
on github point of this resource collection
https://github.com/mim?tab=stars
a book entitled: book "human auditory extract meaning from sound", author Richard F. Lyon free to share this book.
http://dicklyon.com/hmh/Lyon_Hearing_book_01jan2018.pdf
recommended two excellent MIR (Music Information Retrieval) tool
https://aubio.org/doc/latest/
https://librosa.github.io/librosa/
A decomposition of various audio processing tasks and provides case studies of resource
https://www.analyticsvidhya.com/blog/2018/01/10-audio-processing-projects-applications/
a little academic, a more practical resource
https: //towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89
there are many good resources available for reference
https://www.science.wiki/search?keyword = audio + processing
audio retrieval station resources containing demo source
https://musicinformationretrieval.com/
UIUC has a good course on signal processing
https://courses.engr.illinois.edu/cs598ps/fa2018/material.html
course by the top researchers in the field of audio processing Smarr a Paris-Ladis (Paris Smaragdis) opened.
Google research conducted in the audio field
https://research.google.com/audioset/
discussion on fast.ai audio depth study carried out and upload a number of related resources
https://forums.fast.ai/t/deep -learning-with-audio-thread / 38123
Professor Michael Mandel called a "voice and audio comprehension" of course
http://mr-pc.org/t/csc83060/
on github point of this resource collection
https://github.com/mim?tab=stars
a book entitled: book "human auditory extract meaning from sound", author Richard F. Lyon free to share this book.
http://dicklyon.com/hmh/Lyon_Hearing_book_01jan2018.pdf
recommended two excellent MIR (Music Information Retrieval) tool
https://aubio.org/doc/latest/
https://librosa.github.io/librosa/
A decomposition of various audio processing tasks and provides case studies of resource
https://www.analyticsvidhya.com/blog/2018/01/10-audio-processing-projects-applications/
a little academic, a more practical resource
https: //towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89
there are many good resources available for reference
https://www.science.wiki/search?keyword = audio + processing
audio retrieval station resources containing demo source
https://musicinformationretrieval.com/