Search Results for author: Geonmin Kim

Found 6 papers, 2 papers with code

Back from the future: bidirectional CTC decoding using future information in speech recognition

no code implementations7 Oct 2021 Namkyu Jung, Geonmin Kim, Han-Gyu Kim

In this paper, we propose a simple but effective method to decode the output of Connectionist Temporal Classifier (CTC) model using a bi-directional neural language model.

Language Modelling speech-recognition +1

Spell my name: keyword boosted speech recognition

no code implementations6 Oct 2021 Namkyu Jung, Geonmin Kim, Joon Son Chung

Recognition of uncommon words such as names and technical terminology is important to understanding conversations in context.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition

1 code implementation6 Nov 2018 Geonmin Kim, Hwaran Lee, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee

Many speech enhancement methods try to learn the relationship between noisy and clean speech, obtained using an acoustic room simulator.

Speech Enhancement speech-recognition +1

Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations

no code implementations10 Jun 2016 Hwaran Lee, Geonmin Kim, Ho-Gyeong Kim, Sang-Hoon Oh, Soo-Young Lee

Convolutional neural networks (CNNs) with convolutional and pooling operations along the frequency axis have been proposed to attain invariance to frequency shifts of features.

Compositional Sentence Representation from Character within Large Context Text

no code implementations2 May 2016 Geonmin Kim, Hwaran Lee, Jisu Choi, Soo-Young Lee

In the HCRN, word representations are built from characters, thus resolving the data-sparsity problem, and inter-sentence dependency is embedded into sentence representation at the level of sentence composition.

Dialogue Act Classification General Classification

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