activity
20192024
most citedVoice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks

15 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2024

A Theoretical Framework for Acoustic Neighbor Embeddings

Woojay Jeon

This paper provides a theoretical framework for interpreting acoustic neighbor embeddings, which are representations of the phonetic content of variable-width audio or text in a fi…

cs.CL2023

Timestamped Embedding-Matching Acoustic-to-Word CTC ASR

Woojay Jeon

In this work, we describe a novel method of training an embedding-matching word-level connectionist temporal classification (CTC) automatic speech recognizer (ASR) such that it dir…

eess.AS2022

Improvements to Embedding-Matching Acoustic-to-Word ASR Using Multiple-Hypothesis Pronunciation-Based Embeddings

Hao Yen, Woojay Jeon

In embedding-matching acoustic-to-word (A2W) ASR, every word in the vocabulary is represented by a fixed-dimension embedding vector that can be added or removed independently of th…

eess.AS2020★ 2 cited

Acoustic Neighbor Embeddings

Woojay Jeon

This paper proposes a novel acoustic word embedding called Acoustic Neighbor Embeddings where speech or text of arbitrary length are mapped to a vector space of fixed, reduced dime…

cs.CL2020★ 15 cited

Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks

Woojay Jeon, Leo Liu, Henry Mason

We propose a method to reduce false voice triggers of a speech-enabled personal assistant by post-processing the hypothesis lattice of a server-side large-vocabulary continuous spe…

cs.CL2019

On Modeling ASR Word Confidence

Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy

We present a new method for computing ASR word confidences that effectively mitigates the effect of ASR errors for diverse downstream applications, improves the word error rate of…