
Explore syntactic language modeling techniques for improving machine translation and detecting speech repairs in natural language processing.

Explore advanced concepts of Hidden Markov Models, including applications and algorithms, in this in-depth continuation of Jason Eisner's tutorial series.

Explore advancements in speech technology for analyzing human interactions, focusing on child learning spaces and NASA APOLLO missions. Gain insights into ML-based audio processing and diarization techniques.

Explore visual features for context-aware speech recognition, improving transcription of consumer-generated multimedia content by adapting acoustic and language models to detected objects and scenes.

Explore how visual context enhances conversational AI accuracy. Learn about augmentation strategies, grounding techniques, and recent advancements in language models for more effective human-machine interactions.

Explore top-down auditory processing, its importance in noisy environments, and applications in internet data analysis. Gain insights from visual and auditory perception examples.

Explore conditional random fields for speech recognition and auditory scene analysis, integrating local acoustic evidence over time sequences to improve event detection and classification.

Explore speech, language, and machine learning concepts with Jeff A. Bilmes from the University of Washington in this comprehensive lecture.

Explore advanced UBM-based acoustic modeling techniques for automatic speech recognition, enhancing ASR system performance and accuracy.

Explore fundamental concepts and techniques of speech recognition, including acoustic modeling, language modeling, and decoding algorithms.

Explore sequence kernels for speaker and speech recognition, focusing on generative kernels and their applications in feature extraction and classification using HMMs, GMMs, and SVMs.

Explore the past, present, and future of speech and language processing with insights on technological trends, data mining, and shifting priorities in the field.

Explore advanced speech recognition techniques using sub-space models in this in-depth implementation guide from Johns Hopkins University's CLSP.

Explore a feature-based model of human lexical access, delving into the intricacies of language processing and speech recognition.

Explore cutting-edge research in speech recognition, generation, and privacy. Learn about self-training algorithms, error correction models, joint text-to-speech modeling, and privacy-preserving techniques in speech processing.

Explore AI fundamentals, machine learning, deep learning, and Azure's AI services. Master key concepts and prepare for the AI-900 exam with practical insights and exam tips.

Explore the technology pipeline and business opportunities of smart speakers from manufacturer and developer perspectives, including revenue generation strategies.

Explore finite state methods integrated with neural architectures for advanced speech applications and beyond in this comprehensive JSALT 2023 workshop.

Explore text and context in language processing with Kenneth Church's JSALT 2023 team presentation, delving into cutting-edge research and insights.

Explore cutting-edge neural conversational AI techniques in this comprehensive JSALT 2023 presentation, covering advanced topics and latest research in the field.

Design conversational models automatically by observing human-to-human interactions, exploring cutting-edge techniques in natural language processing and dialogue systems.