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Quality and Usability Lab's Projects

bias-aware-loss icon bias-aware-loss

Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Dataset

gui_speakercharacteristics icon gui_speakercharacteristics

Java GUI for labeling speech files in terms of social speaker characteristics (likable, attractive, competent, childish, etc.).

latencyprobe icon latencyprobe

Arduino project to measure the latency of interactive systems - such as Cloud Gaming

ml_speaker_characteristics icon ml_speaker_characteristics

Predictive modeling of users' interpersonal characteristics by the sound of their voices and manner of speaking.

nisqa icon nisqa

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

p.808 icon p.808

This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

pdnui icon pdnui

Basic platform for kinect-based public display installations

qulquestionnaire-ios icon qulquestionnaire-ios

QULQuestionnaire provides a drop-in solution for presenting an in-app questionnaire to the user.

textcomplexityde icon textcomplexityde

TextComplexityDE dataset consists of 1000 sentences in the German language with subjective complexity rating, collected from German learners in level B, and 250 sentences with a native speaker's simplification.

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