Easy Speech-to-Text with Python
This project explores the multilingual automatic speech recognition (ASR) system and the architecture of signal processing using Python. Today, ASR systems are available through multiple sources, including IBM Watson® Speech to Text, and some publicly available systems through Open AI.
3.9 (35 Reviews)
Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 578
Skills You Will Learn
- Data Analysis, Python, Data Science, Machine Learning, Embeddable AI, PyTorch
Offered By
- IBM
Estimated Effort
- add pytroch
Platform
- SkillsNetwork
Last Update
- May 19, 2024
Why you should do this guided project?
A look at the project ahead
- Understand how signal processing works.
- Load an audio file and detect the spoken language.
- Transcribe and translate an audio or YouTube file.
Prerequisites
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and Python runtimes that we offer as part of the IBM Skills Network Labs environment. The IBM Skills Network Labs environment comes with many things pre-installed (e.g., Docker) to save them the hassle of setting everything up. Also, note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 578
Skills You Will Learn
- Data Analysis, Python, Data Science, Machine Learning, Embeddable AI, PyTorch
Offered By
- IBM
Estimated Effort
- add pytroch
Platform
- SkillsNetwork
Last Update
- May 19, 2024
Instructors
Svitlana Kramar
Data Scientist
I’m a passionate data science educator whose goal is to learn by teaching innovative data science tools that can improve our day-to-day tasks and our quality of life. My interests are in Natural Language Processing: text classification, summarization, and generation. Research can take a long time because there are a lot of resources and new opinions posted every day. Having tools to summarize and extract the information can save a lot of time. I hope we can all learn, approve, and apply the data science tools to cut down on the repetitive and tedious tasks, to make more informed decisions in life, to differentiate fake from real, and to open communication spaces to language-diverse or hearing-impaired audiences. The applications are limitless! My personality: I am a foodie and I love cooking and learning different cuisines. I also love travelling and connecting with people by learning a little bit of their language, about their food and music. I hold Data Science and Analytics master’s degree, specializing in Machine Learning, from University of Calgary.
Read moreContributors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreRoxanne Li
Data Scientist at IBM
I am an aspiring Data Scientist at IBM with extensive theoretical/academic, research, and work experience in different areas of Machine Learning, including Classification, Clustering, Computer Vision, NLP, and Generative AI. I've exploited Machine Learning to build data products for the P&C insurance industry in the past. I also recently became an instructor of the Unsupervised Machine Learning course by IBM on Coursera!
Read more