Kommunikationstechnik-Kolloquium

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July 2021

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Communication Technology Colloquim at IKS
by Irina Ronkartz 09 Jul '21

09 Jul '21

Dear subscribers of the colloquium newsletter, we are pleased to announce the next dates of our Communication Technology Colloquium. *Monday, July 19, 2021* *Speaker:* Jonas Förster *Time*: 2:30 p.m. *Location*: https://rwth.zoom.us/j/97904157921?pwd=SWpsbDl0MWhrWjY1ZkZaeFRoYmErZz09 Meeting-ID: 979 0415 7921 Passwort: 481650 *Master-Lecture*: Multi-Channel Filter Design for Headphones with Active Noise Cancelling Active noise cancellation (ANC) headphones became increasingly popular during the last decade. They are especially capable of reducing low-frequent noise, where the passive isolation of headphones is ineffective. Nowadays, commercial ANC headphones mostly use a single reference microphone. This limits the maximum achievable active attenuation. Adding multiple reference microphones to headphones can overcome these limitations by exploiting the spatial characteristics of the incoming noise. This thesis presents two different multi-channel filter strategies for feedforward ANC in headphones. On the one hand, a time-invariant filter for reducing diffuse noise and on the other hand a time-variant filter structure for reducing directional non-stationary noise are presented. Additionally, a commercial ANC headphone is extended by multiple reference microphones and the increase in active attenuation based on the microphone positions is evaluated. The results indicate that both filter techniques can improve the achievable active attenuation for their dedicated use cases. Furthermore, the active attenuation can be improved by additional microphones if they are placed on the side of the corresponding loudspeaker. and *Monday, July 19, 2021* *Speaker: *Zhi Li *Time:* 3:15 p.m. *Location*: https://rwth.zoom.us/j/97904157921?pwd=SWpsbDl0MWhrWjY1ZkZaeFRoYmErZz09 Meeting-ID: 979 0415 7921 Passwort: 481650 *Master-Lecture:* Real-Time Rendering of Recorded Spatial Audio Content for Moving Listeners All intersted parties are coridally invited, registration is not required. General information about the colloquium as well as a current time scale of the Communication Technology Colloquium can be found at: https://www.iks.rwth-aachen.de/aktuelles/kolloquium -- Irina Ronkartz Institute of Communication Systems (IKS) RWTH Aachen University Muffeter Weg 3a, 52074 Aachen, Germany +49 241 80 26958 (phone) ronkartz(a)iks.rwth-aachen.de http://www.iks.rwth-aachen.de/

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Communication Technology Colloquim at IKS
by Irina Ronkartz 02 Jul '21

02 Jul '21

Dear subscribers of the colloquium newsletter, we are pleased to announce the next date of our Communication Technology Colloquium: *Friday, July 9, 2021* *Speaker:* Marc Mittag *Time:* 3:30 p.m. *Location*: https://rwth.zoom.us/j/97904157921?pwd=SWpsbDl0MWhrWjY1ZkZaeFRoYmErZz09 Meeting-ID: 979 0415 7921 Passwort: 481650 *Master-Lecture*: Deep Speech Inpainting for Masks Resulting from Noisy Spectra Speech enhancement belongs to the domain of noise detection, estimation and reductionwith the goal of increasing speech quality and intelligibility for speech signals subject toenvironmental noise. However, conventional methods typically insufficiently remove noisein challenging low-SNRnon-stationary noise environments. In this thesis, we explore a twostage speech enhancement method utilizing the strengths of machine learning and deep speechinpainting for these difficult scenarios. Consisting out of a masking and inpainting stage,we deploy two powerful residualCNNs in an encoder-decoder structure, one for each stage.The purpose of the first stage is to mask a noisy-speech magnitude spectrogram using binarymasking such that it sufficiently removes noise but retains most of the important speechinformation. The second stage deals with reconstruction of the previously removedT-Fpointswith the goal of creating a corruption-free, continuous clean-speech signal. The results showthat our approach outperforms conventional speech enhancement methods and achieves similarstate-of-the-art performance regarding other speech inpainting studies. Compared to thenoisy-speech signal, our approach achieves up to 3 times higherPESQscores and substantialSNRimprovements of several decibels on ideal conditions. Furthermore, we demonstrate thatthe inpainting neural network can inpaint even highly masked speech if specifically trained for. All interested parties are cordially invited, registration is not required. General information about the colloquium as well as a current time scale of the Communication Technology Colloquium can be found at: https://www.iks.rwth-aachen.de/aktuelles/kolloquium -- Irina Ronkartz Institute of Communication Systems (IKS) RWTH Aachen University Muffeter Weg 3a, 52074 Aachen, Germany +49 241 80 26958 (phone) ronkartz(a)iks.rwth-aachen.de http://www.iks.rwth-aachen.de/

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