
Explore accelerated audio computing advancements: technology progress, use cases, SDK vision, and industry standards. Engage in shaping the future of GPU-powered audio processing.

Streamline car audio post-processing development with AudioworX. Learn about its framework, tuning tools, measurement module, and simulation environment for efficient audio software creation.

Explore modular audio synthesis on FPGAs using high-level synthesis tools. Learn about design approaches, optimization techniques, and interconnectable sound synthesis modules for enhanced audio processing capabilities.

Explore pruning and quantization techniques to enhance efficiency of complex audio models for real-time processing in resource-constrained environments. Gain insights into model compression for audio applications.

Discover how to detect sequence periodicity and find periods using the Discrete Fourier Transform in this informative video on signal processing concepts.

Explore lock-in detection techniques for signal processing and measurement applications. Learn principles, implementation, and practical uses in various scientific fields.

Explore the fundamentals of wavelet transform in this introductory lecture, laying the groundwork for understanding its applications in signal processing and analysis.

Explore advanced concepts of wavelet transform, including applications and analysis techniques. Deepen understanding of signal processing and data analysis using wavelets.

Explore signal and noise concepts in this concise lecture, enhancing your understanding of fundamental principles in signal processing.

Explore innovative approaches to audio deep learning, addressing practical challenges in efficiency, unsupervised learning, and resource-limited scenarios for enhanced audio processing and source separation.

Explore deep neural networks for sound classification, covering speech, music, and environmental sounds. Learn about AudioSet ontology and applications in bioacoustics and cross-modal learning.

Explore computational sound scene analysis, covering tasks from basic classification to advanced localization and captioning, with deep learning techniques and data requirements.

Explore multiclass audio segmentation techniques for broadcast environments, focusing on cutting-edge approaches and practical applications.

Explore acoustic scene analysis, complex modulations, and innovative filtering techniques for separating overlapping sound sources in noisy environments.

Explore hierarchical sound modeling for audio source separation and generation. Learn about extracting components, controlling models, detecting data memorization, and building interpretable controls.

Explore techniques for music retrieval using Query by Humming, including string-alignment algorithms and hidden Markov models. Compare approaches and their effectiveness in finding songs from sung queries.

Explore audio source separation techniques, from basis functions to exemplars, and learn how to achieve direct computation of tasks like noisy speech recognition without intermediate separation steps.

Explore voice authentication privacy challenges and solutions, including cryptographic methods and secure binary embeddings for protecting user voice prints while enabling authentication.

Explore RFNoC blocks in UHD 4.0, their capabilities, and deployment techniques for high-throughput DSP on USRP devices. Learn to optimize RFNoC flowgraphs for maximum flexibility.

Explore advanced time-frequency representations and related concepts in signal processing, enhancing understanding of complex signal analysis techniques.

Explore advanced time-frequency representations and related concepts in signal processing, enhancing understanding of complex signal analysis techniques.