Gabriel Mittag
10 papers · 2018–2026 · 2 venues · across top CS/AI venues
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(2)
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(2)
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(2)
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(1)
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speech quality
(4)
speech quality prediction
(3)
packet loss
(3)
full-band audio
(2)
convolutional neural network
(2)
speech communication
(2)
fullband speech
(2)
distributional reinforcement learning
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speech processing
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feature extraction
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recurrent neural network
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deep neural network
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decision tree
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end-to-end learning
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parametric model
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voice conversion
(1)
quality prediction
(1)
quality of experience
(1)
speech quality assessment
(1)
signal processing
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Papers
Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication
AAAI 2026
ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications
Interspeech 2022
Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational Degradations
Interspeech 2021
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Interspeech 2021
Deep Learning Based Assessment of Synthetic Speech Naturalness
Interspeech 2020
DNN No-Reference PSTN Speech Quality Prediction
Interspeech 2020
Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality
Interspeech 2020
Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios
Interspeech 2019
Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech
Interspeech 2019
Detecting Packet-Loss Concealment Using Formant Features and Decision Tree Learning
Interspeech 2018