Semester.ly

Johns Hopkins University | EN.520.445

Audio Signal Processing

3.0

credits

Average Course Rating

(4.23)

This course gives a foundation in current audio and speech technologies, and covers techniques for sound processing by processing and pattern recognition, acoustics, auditory perception, speech production and synthesis, speech estimation. The course will explore applications of speech and audio processing in human computer interfaces such as speech recognition, speaker identification, coding schemes (e.g. MP3), music analysis, noise reduction. Students should have knowledge of Fourier analysis and signal processing. It is recommended that students take EN.520.344 Digital Signal Processing prior to taking this class.

Fall 2012

(4.2)

Fall 2013

(4.25)

Fall 2014

(4.25)

Fall 2012

Professor: Mounya Elhilali

(4.2)

Students said the projects gave them experience with real-life applications of speech processing. They also liked the clear lectures and reasonable workload. Some students found the lectures boring and thought the professor didn’t go into enough detail for some topics. They also said there was not enough feedback on assignments. Students suggested either grading the homework or getting rid of it completely. Students should know that the course involves MATLAB programming and that some biology background is helpful.

Fall 2013

Professor: Mounya Elhilali

(4.25)

Students found the professor to the best aspect of this course because she covered a lot of topics over the semester. Students also liked the projects and the way they were relevant to the materials covered in the lecture. Some students thought that the course was a bit rushed and that not enough time was spent going over the math and signal processing. Students suggested including more mathematical examples in the lectures. Students also suggested cutting down the number of topics in order to go over the remaining ones in greater depth. Prospective students should know MATLAB and have some familiarity with signals and systems. This course will provide a good background in audio signal processing, but students must be prepared to do some in-depth studying on their own.

Fall 2014

Professor: Mounya Elhilali

(4.25)

Students praised this course for its project-based approach to teaching interesting material. Perceived issues with the course included a belief that those same projects could be time consuming. Suggestions for improvement included a desire by some students that the course include some more tutorials or overviews on how to complete the assigned projects. Prospective students should know that students found the course demanded a background in signals and systems as wel as MATLAB.

Lecture Sections

(01)

No location info
M. Elhilali
13:30 - 14:45