Activiteiten Buiten SCIO

Organized by the Amsterdam Center for Language and Communication! (ACLC) Speaker: Tineke Snijders Location: PC Hoofthuis Room: 5.60 Title: Neural tracking of speech in infants and their later language development Abstract: Neuronal groups in the brain process information in a rhythmical way, and can also track the speech rhythm. Using EEG, the coherence between the … Continue reading ACLC Seminar | Tineke Snijders: Neural tracking of speech in infants and their later language development →

Organized by the Amsterdam Center for Language and Communication! (ACLC) Speaker: Lauren Fonteyn (Meertens Instituut) Location: P.C. Hoofthuis Room: 1.15 Title: Methods of semi-automatic data annotation with contextualized word embeddings Abstract: In corpus linguistics, the collection and annotation of data commonly involve a relatively balanced combination of computer-aided and manual labour. It is still common practice, … Continue reading ACLC Seminar | Lauren Fonteyn: Methods of semi-automatic data annotation with contextualized word embeddings →

Organized by the Amsterdam Brain and Cognition! (ABC) Speaker: Sabine Kastner Location: Science Park 904 Room: SP C0.110 Title: Neural dynamics of the primate attention network Abstract: The selection of information from our cluttered sensory environments is one of the most fundamental cognitive operations performed by the primate brain. In the visual domain, the selection … Continue reading ABC Lecture | Sabine Kastner: Neural dynamics of the primate attention network →

Organized by the Amsterdam Center for Language and Communication! (ACLC) Speaker: Odette Scharenborg Location: P.C. Hoofthuis Room: 1.15 Title: Inclusive automatic speech recognition: Quantifying and mitigating bias in automatic speech recognisers Abstract: Automatic speech recognition (ASR) is increasingly used, e.g., in emergency response centers, domestic voice assistants, and search engines. Because of the paramount relevance … Continue reading ACLC Seminar | Odette Scharenborg: Inclusive automatic speech recognition: Quantifying and mitigating bias in automatic speech recognisers →