34 citations · 59 across the 5 of their papers we have counts for
5 papers
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation
Hyungjun Lim, Younggwan Kim, Kiho Yeom +4
Self-supervised learning method that provides generalized speech representations has recently received increasing attention. Wav2vec 2.0 is the most famous example, showing remarka…
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
Youngmoon Jung, Yeunju Choi, Hyungjun Lim +1
Speaker verification (SV) has recently attracted considerable research interest due to the growing popularity of virtual assistants. At the same time, there is an increasing requir…
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
Myunghun Jung, Hyungjun Lim, Jahyun Goo +2
Acoustic word embeddings --- fixed-dimensional vector representations of arbitrary-length words --- have attracted increasing interest in query-by-example spoken term detection. Re…
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
Youngmoon Jung, Younggwan Kim, Hyungjun Lim +2
In this paper, we propose a new pooling method called spatial pyramid encoding (SPE) to generate speaker embeddings for text-independent speaker verification. We first partition th…
Learning acoustic word embeddings with phonetically associated triplet network
Hyungjun Lim, Younggwan Kim, Youngmoon Jung +2
Previous researches on acoustic word embeddings used in query-by-example spoken term detection have shown remarkable performance improvements when using a triplet network. However,…