1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2026
MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables
Sung-Lin Yeh, Wei Zhou, Gil Keren +6
Recent speech language models rely on encoders that are optimized separately from autoregressive models. Since these encoders are unaware of the downstream objectives, the extracte…
eess.AS2019★ 1 cited
Bandwidth Embeddings for Mixed-bandwidth Speech Recognition
Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid +1
In this paper, we tackle the problem of handling narrowband and wideband speech by building a single acoustic model (AM), also called mixed bandwidth AM. In the proposed approach,…