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Intro
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What is this talk about?
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Some remarks...
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Automatic Speech Recognition (ASR)
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ASR is not already solved?
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Technical Challenges
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The big picture
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ASR System: Steps
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ASR System: Toolkits
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ASR System: Open Resources
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ASR System: Prepare resources
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ASR System: Resources
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ASR System: Feature Extraction
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ASR System: Modelling
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ASR System: Acoustic Modelling
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ASR System: Language Modelling
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ASR System: Recognition graph
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ASR System: Evaluation
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ASR System: Advanced Topics
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What was this talk about?
Description:
Explore the fundamentals of speech recognition systems in this PyCon US talk by Javier Jorge Cano. Delve into the technical challenges and processes behind converting voice signals to text, including feature extraction, acoustic and language modeling, and recognition graph creation. Learn how to develop a system for recognizing isolated words in Python through a guided example. Gain insights into the implementation of advanced speech recognition techniques in production systems, providing transcriptions for various companies and institutions. Discover open resources, toolkits, and evaluation methods used in Automatic Speech Recognition (ASR). Perfect for developers interested in understanding and implementing speech recognition technology using Python.

Sorry, Could You Repeat That Again? - Speech Recognition with Python

PyCon US
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