3 citations · 6 across the 17 of their papers we have counts for
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Disentangling Textual and Acoustic Features of Neural Speech Representations
Hosein Mohebbi, Grzegorz Chrupała, Willem Zuidema +2
Neural speech models build deeply entangled internal representations, which capture a variety of features (e.g., fundamental frequency, loudness, syntactic category, or semantic co…
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0
Marianne de Heer Kloots, Willem Zuidema
What do deep neural speech models know about phonology? Existing work has examined the encoding of individual linguistic units such as phonemes in these models. Here we investigate…
Black Big Boxes: Tracing Adjective Order Preferences in Large Language Models
Jaap Jumelet, Lisa Bylinina, Willem Zuidema +1
In English and other languages, multiple adjectives in noun phrases follow intricate ordering patterns. These patterns have been widely studied in linguistics and provide a useful…
Perception of Phonological Assimilation by Neural Speech Recognition Models
Charlotte Pouw, Marianne de Heer Kloots, Afra Alishahi +1
Human listeners effortlessly compensate for phonological changes during speech perception, often unconsciously inferring the intended sounds. For example, listeners infer the under…
Do Language Models Exhibit Human-like Structural Priming Effects?
Jaap Jumelet, Willem Zuidema, Arabella Sinclair
We explore which linguistic factors -- at the sentence and token level -- play an important role in influencing language model predictions, and investigate whether these are reflec…