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Speechmatics CTO - Next-Generation Speech Recognition

2024/10/23

Machine Learning Street Talk (MLST)

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Speechmatics CTO - Next-Generation Speech Recognition

Machine Learning Street Talk (MLST)

What Are the Fundamentals of ASR and Diarization?

How Does Real-time Conversational AI Architecture Work?

What Are the Challenges in Neural Network Streaming Implementation?

How Does Multi-modal System Integration Enhance ASR?

What Are the Key Components of Production Deployment and Testing Infrastructure?

How Does Model Architecture Impact Deployment Strategy?

What Are the Latency-Accuracy Trade-offs in ASR Systems?

How Does Language Model Integration Improve ASR Accuracy?

What Is the Role of Lattice-based Decoding in ASR?

What Metrics Are Used to Evaluate ASR Performance?

What Are the Ethical Considerations in ASR and AI Regulation?

What Are the Challenges in Benchmarking and Testing ASR Systems?

How Are Real-world Implementation Metrics Measured in ASR?

What Are the Ethical and Privacy Considerations in ASR?

How Is WER Calculated and Evaluated in ASR?

What Are the Differences Between Supervised and Self-Supervised Learning in ASR?

How Does Temporal Learning and Feature Processing Impact ASR?

What Is the Evolution from Feature Engineering to Automated ML in ASR?

What Are the Future Directions for AI Systems and Adaptation in ASR?

What Are the Technical Foundations and History of ASR?

How Does Infrastructure and Team Scaling Impact ASR Development?

What Are the Research and Talent Strategies for ASR?

How Has the Engineering Practice Evolved in ASR?

Shownotes Transcript

Speechmatics CTO - Next-Generation Speech Recognition 01:46:23 Share

Machine Learning Street Talk (MLST)

What Are the Fundamentals of ASR and Diarization?

How Does Real-time Conversational AI Architecture Work?

What Are the Challenges in Neural Network Streaming Implementation?

How Does Multi-modal System Integration Enhance ASR?

What Are the Key Components of Production Deployment and Testing Infrastructure?

How Does Model Architecture Impact Deployment Strategy?

What Are the Latency-Accuracy Trade-offs in ASR Systems?

How Does Language Model Integration Improve ASR Accuracy?

What Is the Role of Lattice-based Decoding in ASR?

What Metrics Are Used to Evaluate ASR Performance?

What Are the Ethical Considerations in ASR and AI Regulation?

What Are the Challenges in Benchmarking and Testing ASR Systems?

How Are Real-world Implementation Metrics Measured in ASR?

What Are the Ethical and Privacy Considerations in ASR?

How Is WER Calculated and Evaluated in ASR?

What Are the Differences Between Supervised and Self-Supervised Learning in ASR?

How Does Temporal Learning and Feature Processing Impact ASR?

What Is the Evolution from Feature Engineering to Automated ML in ASR?

What Are the Future Directions for AI Systems and Adaptation in ASR?

What Are the Technical Foundations and History of ASR?

How Does Infrastructure and Team Scaling Impact ASR Development?

What Are the Research and Talent Strategies for ASR?

How Has the Engineering Practice Evolved in ASR?

Shownotes Transcript

Speechmatics CTO - Next-Generation Speech Recognition