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Course Outline
Overview of Speech Recognition Technologies for Government
- History and evolution of speech recognition for government applications
- Acoustic models, language models, and decoding techniques used in government contexts
- Modern architectures: Recurrent Neural Networks (RNNs), transformers, and the Whisper model
Audio Preprocessing and Transcription Basics for Government
- Handling various audio formats and sample rates in government settings
- Cleaning, trimming, and segmenting audio to meet public sector standards
- Generating text from audio: real-time transcription vs batch processing for government workflows
Hands-on with Whisper and Other APIs for Government
- Installing and using OpenAI Whisper in a government environment
- Calling cloud APIs (Google, Azure) for transcription to support government operations
- Comparing performance, latency, and cost considerations for government use cases
Language, Accents, and Domain Adaptation for Government
- Working with multiple languages and accents in government communications
- Custom vocabularies and noise tolerance to enhance accuracy in government settings
- Handling legal, medical, or technical language specific to government domains
Output Formatting and Integration for Government
- Adding timestamps, punctuation, and speaker labels to meet government documentation standards
- Exporting transcriptions to text, SRT, or JSON formats for government use
- Integrating transcriptions into government applications or databases
Use Case Implementation Labs for Government
- Transcribing meetings, interviews, or podcasts in a government context
- Developing voice-to-text command systems for government operations
- Providing real-time captions for video/audio streams in government settings
Evaluation, Limitations, and Ethics for Government
- Accuracy metrics and model benchmarking to ensure reliability in government applications
- Addressing bias and fairness in speech models used by the government
- Ensuring privacy and compliance with government regulations
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of general artificial intelligence and machine learning principles
- Familiarity with audio or media file formats and associated tools
Audience
- Data scientists and AI engineers working with voice data for government applications
- Software developers building transcription-based solutions for government use
- Organizations exploring speech recognition technology for automation in the public sector
14 Hours
