Prof. Dr. Emanuël Habets

Lehrstuhl für Sprach- und Akustische Signalverarbeitung

CountNet: Estimating the number of concurrent speakers using supervised learning (2019) Stöter FR, Chakrabarty S, Edler B, Habets E Journal article Recursive expectation-maximization algorithm for dependent observations (2019) Schwartz B, Gannot S, Habets E, Noam Y Journal article Perceptual exploration of near-field binaural audio rendering in six-degrees-of-freedom virtual reality (2019) Rummukainen O, Schlecht S, Robotham T, Plinge A, Habets E Conference contribution Multi-channel wind noise reduction using the Corcos model (2019) Mirabilii D, Habets E Conference contribution Eigenbeam-ESPRIT for DOA-vector estimation (2019) Herzog A, Habets E Journal article Direction preserving Wiener matrix filtering for Ambisonic input-output systems (2019) Herzog A, Habets E Conference contribution Multi-speaker DOA estimation using deep convolutional networks trained with noise signals (2019) Chakrabarty S, Habets E Journal article Classification vs. regression in supervised learning for speaker count estimation (2018) Stöter FR, Chakrabarty S, Edler B, Habets E Conference contribution Time-frequency masking based online speech enhancement with multi-channel data using convolutional neural networks (2018) Chakrabarty S, Wang D, Habets E Conference contribution Supervised source localization using spot microphones (2018) Calvo M, Luis Valero M, Habets E Conference contribution, Conference Contribution