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Introduction to Natural Language Processing
Course
Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.
Estimated time
1 month
Enroll by
June 14, 2023
Get access to classroom immediately on enrollment
Skills acquired
Alexa Skill Creation, Feature Extraction, Speech Recognition
What You Will Learn
Communicating with Natural Language
1 month to completeLearn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.
Prerequisite knowledge
Deep Learning Framework Proficiency, Intermediate Python
Intro to Voice User Interfaces
Learn the basics of how computers understand spoken words and get familiar with the most common VUI applications. Set up your AWS account and build Alexa skill with an existing template.
Alexa History Skill
Learn the basics of Amazon AWS and create your own fully functional Alexa skill using Amazon’s API. Deploy your skill for everyone to use it
Introduction to Speech Recognition
Learn the pipeline used for speech recognition and learn to process and extract features from sound signals. Learn to build probabilistic and machine learning language models in order to extract words and grammar from sound signals.
Course Project: Speech Recognizer
Build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline. The model will convert raw audio into feature representations, which will then turn them into transcribed text. Begin by investigating a dataset that will be used to train and evaluate their models. Your algorithm will first convert any raw audio to feature representations that are commonly used for ASR. Then build neural networks that map these features to transcribed text.
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Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
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Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course offerings
Class content
- Real-world projects
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- Project feedback from experienced reviewers
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Luis Serrano
InstructorLuis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Dana Sheahan
Content DeveloperDana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Communicating with Natural Language
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Learn
Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.
Average Time
On average, successful students take 1 month to complete this program.
Benefits include
- Real-world projects from industry experts
- Real-time support
Program Details
Do I need to apply? What are the admission criteria?
No. This Course accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
A well-prepared learner has experience with Convolutional neural networks, Recurrent neural networks, Intermediate Python, PyTorch, Basic calculus, Linear algebra, Basic probability, and Jupyter notebooks.
How is this course structured?
This course is comprised of content and curriculum to support one project. We estimate that students can complete the program in one month.
The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
How long is this course?
Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
What software and versions will I need in this course?
Learners will need Anaconda with Python 3.5 and supporting packages