It is found that different types of acoustic-prosodic features are individually helpful, and together improve parse F1 scores significantly over a strong ...

Bibliographic details on Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing.

We find that different types of acoustic-prosodic features are individually helpful, and together improve parse F1 scores significantly over a strong text-only ...

Apr 24, 2017 · For automatically parsing a spoken utterance, we introduce a model that integrates transcribed text and acoustic-prosodic features using a ...

Code from this paper: "Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing". Trang Tran*, Shubham Toshniwal*, Mohit Bansal, Kevin Gimpel, ...

Apr 24, 2017 · We introduce a model that integrates transcribed text and acoustic-prosodic features using a convolutional neural network over energy and pitch trajectories.

A model that integrates transcribed text and acoustic-prosodic features using a convolutional neural network over energy and pitch trajectories coupled with ...

speech_parsing. Code from this paper: "Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing". Trang Tran*, Shubham Toshniwal*, Mohit Bansal ...

Sep 13, 2024 · We present and evaluate neural architectures that use acoustic features for 3-class word importance prediction. Our model performs competitively ...

We present and evaluate neural architectures that use acoustic features for 3-class word importance prediction. Our model performs competitively against state- ...