18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yorùbá
Opeyemi Osakuade, Simon King
Discrete speech units (DSUs) are derived by quantising representations from models trained using self-supervised learning (SSL). They are a popular representation for a wide variet…
cs.CL2016★ 18 cited
Investigating gated recurrent neural networks for speech synthesis
Zhizheng Wu, Simon King
Recently, recurrent neural networks (RNNs) as powerful sequence models have re-emerged as a potential acoustic model for statistical parametric speech synthesis (SPSS). The long sh…