2 citations · 2 across the 3 of their papers we have counts for
3 papers
Integrating Continuous and Binary Relevances in Audio-Text Relevance Learning
Huang Xie, Khazar Khorrami, Okko Räsänen +1
Audio-text relevance learning refers to learning the shared semantic properties of audio samples and textual descriptions. The standard approach uses binary relevances derived from…
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research
María Andrea Cruz Blandón, Alejandrina Cristia, Okko Räsänen
Modelling of early language acquisition aims to understand how infants bootstrap their language skills. The modelling encompasses properties of the input data used for training the…
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections
Huang Xie, Okko Räsänen, Tuomas Virtanen
In this paper, we study zero-shot learning in audio classification through factored linear and nonlinear acoustic-semantic projections between audio instances and sound classes. Ze…