Search Results for author: Hong-Kwang Kuo

Found 5 papers, 1 papers with code

Extending RNN-T-based speech recognition systems with emotion and language classification

no code implementations28 Jul 2022 Zvi Kons, Hagai Aronowitz, Edmilson Morais, Matheus Damasceno, Hong-Kwang Kuo, Samuel Thomas, George Saon

We propose using a recurrent neural network transducer (RNN-T)-based speech-to-text (STT) system as a common component that can be used for emotion recognition and language identification as well as for speech recognition.

Emotion Classification Emotion Recognition +3

Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems

no code implementations8 Oct 2020 Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny

Assuming we have additional text-to-intent data (without speech) available, we investigated two techniques to improve the S2I system: (1) transfer learning, in which acoustic embeddings for intent classification are tied to fine-tuned BERT text embeddings; and (2) data augmentation, in which the text-to-intent data is converted into speech-to-intent data using a multi-speaker text-to-speech system.

Data Augmentation Intent Classification +1

A Recorded Debating Dataset

no code implementations LREC 2018 Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim

This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technologies.

Automatic Speech Recognition speech-recognition

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