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Digital Speech Processing

using Matlab
4.3
4.3/5
(25 reviews)
123 students
Created by

8.6

CourseMarks Score®

7.9

Freshness

8.8

Feedback

8.4

Content

Platform: Udemy
Video: 1h 42m
Language: English
Next start: On Demand

Top Signal Processing courses:

Detailed Analysis

CourseMarks Score®

8.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.9 / 10
This course was last updated on 8/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.8 / 10
We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.4 / 10
Video Score: 7.8 / 10
The course includes 1h 42m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 46 minutes of 32 Signal Processing courses on Udemy.
Detail Score: 8.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
14 resources.
0 exercise.
0 test.

Table of contents

Description

After the course the viewer will be equipped with tools to analyze and compress speech signals. Since the course uses demonstrations in matlab, the viewers will also be able to use some of the matlab tools effectively, other than understanding the concepts clearly. Other than speech, the viewers will also be able to handle other one dimensional data like biomedical signals since they are similar to speech signals.
It is a valuable course for students who love coding, from any field like mathematics, physics, electrical, electronics, computer engineering,etc.

You will learn

✓ Digital Speech Processing with matlab demonstration

Requirements

• Basic mathematics

This course is for

• Signal Processing Enthusiasts from any branch of engineering

How much does the Digital Speech Processing course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $59. So you save $44 if you enroll the course now.
The average price is $15.5 of 32 Signal Processing courses. So this course is 3% cheaper than the average Signal Processing course on Udemy.

Does the Digital Speech Processing course have a money back guarantee or refund policy?

YES, Digital Speech Processing has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Digital Speech Processing course, but there is a $44 discount from the original price ($59). So the current price is just $14.99.

Who is the instructor? Is Vidya Varier a SCAM or a TRUSTED instructor?

Vidya Varier has created 1 courses that got 25 reviews which are generally positive. Vidya Varier has taught 123 students and received a 4.3 average review out of 25 reviews. Depending on the information available, Vidya Varier is a TRUSTED instructor.
Professor, teaching signal processing subjects
I am M Tech from National Institute of Technology, Karnataka, India. I got a gold medal for being first in university for my M Tech. I have 18 years of experience, 16 in teaching and 2 in industry.

I have been teaching mathematical subjects in engineering like signals and systems, digital signal processing, analog and digital communication, speech processing, image processing, pattern recognition, probability and random processes, linear albegra, etc.
I have been doing mini projects for research in digital filters and also biomedical signal processing. I have identified murmurs in heart sounds (Phonocardiogram-PCG), did some filter design on designing Goertzel filter for DCT and DST, type 1,2,3 and 4. I did many projects and made header files for DSP to work with Code Composer Studio for the DSP kit DSK6748. I also have been doing mini projects for research in speech and audio signals. Some of them were to remove stuttering in speech, pitch correction, etc.

I am also experienced with Matlab and python coding. I have handled the DSK6748, using embedded C for coding. I have also done some coding for ARM processor in assembly language. I have some experience with LabVIEW as well.

I hope to motivate students to achieve heights. I like being a mentor as well as teaching. Hope you enjoy my lectures.
Browse all courses by on Coursemarks.

8.6

CourseMarks Score®

7.9

Freshness

8.8

Feedback

8.4

Content

Platform: Udemy
Video: 1h 42m
Language: English
Next start: On Demand

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