Speech coding

Related lectures (22)

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Covers stochastic models for communications, including stationarity, ergodicity, power spectral density, and Wiener filter.

Explores complex random vectors, stationarity, ergodicity, and the analysis of signals.

Covers the Lempel-Ziv universal coding algorithm and invertible finite state machines in information theory.

Explores decoding human brain activity for decision-making, behavior control, and speech processing, with implications for neuroprosthetics.

Covers source coding, injective codes, prefix-free codes, and Kraft's inequality.

Explores examples of applying Oja's learning rule in neural networks.

Explores the impact of reflections on sound localization and the annoyance caused by echoes in room acoustics.

Covers lemmatization, PoS tagging, sequence labeling, and probabilistic PoS tagging using HMMs for performance evaluation.

Explores the challenges of analyzing speech signals and the concept of time-frequency tiling.

Covers the preparation and conduct of interviews for gathering factual information about housing and sociological aspects.