Search Results for author: Seung-bin Kim

Found 5 papers, 3 papers with code

TranSentence: Speech-to-speech Translation via Language-agnostic Sentence-level Speech Encoding without Language-parallel Data

no code implementations17 Jan 2024 Seung-bin Kim, Sang-Hoon Lee, Seong-Whan Lee

With this method, despite training exclusively on the target language's monolingual data, we can generate target language speech in the inference stage using language-agnostic speech embedding from the source language speech.

Sentence Speech-to-Speech Translation +1

Integrated Replay Spoofing-aware Text-independent Speaker Verification

no code implementations10 Jun 2020 Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Seung-bin Kim, Ha-Jin Yu

In this paper, we propose two approaches for building an integrated system of speaker verification and presentation attack detection: an end-to-end monolithic approach and a back-end modular approach.

Multi-Task Learning Speaker Identification +1

Segment Aggregation for short utterances speaker verification using raw waveforms

1 code implementation7 May 2020 Seung-bin Kim, Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu

The proposed method segments an input utterance into several short utterances and then aggregates the segment embeddings extracted from the segmented inputs to compose a speaker embedding.

Speaker Verification

Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms

2 code implementations1 Apr 2020 Jee-weon Jung, Seung-bin Kim, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu

Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms.

Text-Independent Speaker Verification

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