Learn to build speech recognition systems in this 44-minute workshop from the Center for Language & Speech Processing at Johns Hopkins University. Explore the fundamental components and methodologies required to develop automatic speech recognition (ASR) systems, covering acoustic modeling, language modeling, and decoding algorithms. Gain hands-on experience with the technical aspects of speech processing, including feature extraction, statistical modeling techniques, and system architecture design. Understand the challenges involved in converting spoken language into text and discover practical approaches to overcome common issues in speech recognition development. Master the essential tools and frameworks used in the field while working through real-world examples and implementation strategies for creating robust speech recognition applications.