The accuracy of an audio interface designed for value elicitation: Eliciting personal values from the users to build responsible AI

Behavior support applications aim to provide personalized and flexible support to users in various domains. To achieve this, understanding users' preferences, values, and context is crucial. Creating user models that incorporate users' norms and values has been proposed as a solution to capture the relationship between desired behaviors and...

A power-efficient Delta-Sigma ADC with a passive input stage for audio applications

Several techniques have been proposed to reduce the swing at the input stage of a CTDSM. One of these is using a simple passive RC input stage. In prior works, this increased in-band quantization noise. In this paper, we use positive feedback to realize complex-conjugate poles with a passive input stage, obtaining the same noise-shaping as an...

Efficient implementation of an audio preprocessing algorithm for SNN keyword spotting

Mobile devices are getting increasingly powerful, becoming compatible<br/>for an ever increasing set of functionality. Applications based around<br/>neural networks however still have to offload parts of their computations<br/>to the cloud since current Artificial Neural Networks (ANNs) are<br/>still too computationally expensive for any...

GAN Driven Audio Synthesis: On using adversarial training for data driven audio generation

In this study, we investigate the usage of generative adversarial networks for modelling a collection of sounds. The proposed method incites an interpretation of musical sound synthesis based on audio collections rather than synthesizer component controls. This promises the generation of arbitrarily complex sounds without the restrictions of...

Understanding Context Effects in the Evaluation of Music Similarity

This work analyses context effect in the evaluation of music similarity performed by human annotators to better understand the impact of context effects in the current annotation protocol of Music Information Retrieval Evaluation eXchange (MIREX). Human annotators are known to be subjective when giving similarity judgements. The Audio Music...

Dealing with overconfidence and bias in low-cost evaluation of audio music similarity

The music information retrieval community has long recognized the need for better evaluation. Frameworks as comprehensive as in the field of text retrieval are missing. An important problem of evaluation for music retrieval is the high cost. This work continues on the proposed low-cost evaluation model. The low-cost model allows for cheap...

Pingball: Recreating Pinball for the Visually Impaired with Audio Spatialization and Sonification

A seismic-inspired denoising method for online recorded music

In this work, a novel subspace-based algorithm is presented for automated random noise reduction in online recorded music. Musical signal enhancement is a separate issue from the well-studied speech enhancement problem due to the particularly wide range of signal characteristics encountered, and thus requires a very general approach. Because...

Smart Replicas

This paper is the result of my graduation project for studio Maaike Roozenburg: ‘Design of an experience with responsive 3D audio augmented to replicas of seven porcelain cups and saucers.’ Museums offer a treasure chest of objects, stories, pictures and knowledge about our past and present. The rapid pace in which technology is changing allows...