activity
20162024
most citedToward Multilingual Neural Machine Translation with Universal Encoder and Decoder

265 citations · 267 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2024

Accent conversion using discrete units with parallel data synthesized from controllable accented TTS

Tuan Nam Nguyen, Ngoc Quan Pham, Alexander Waibel

The goal of accent conversion (AC) is to convert speech accents while preserving content and speaker identity. Previous methods either required reference utterances during inferenc…

eess.AS20241 cited

Predictive Speech Recognition and End-of-Utterance Detection Towards Spoken Dialog Systems

Oswald Zink, Yosuke Higuchi, Carlos Mullov +2

Effective spoken dialog systems should facilitate natural interactions with quick and rhythmic timing, mirroring human communication patterns. To reduce response times, previous ef…

cs.CL2024

Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages

Carlos Mullov, Ngoc-Quan Pham, Alexander Waibel

Multilingual neural machine translation systems learn to map sentences of different languages into a common representation space. Intuitively, with a growing number of seen languag…

cs.CL20241 cited

From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions

Fabian Retkowski, Alexander Waibel

Text segmentation is a fundamental task in natural language processing, where documents are split into contiguous sections. However, prior research in this area has been constraine…

cs.CL2023

KIT's Multilingual Speech Translation System for IWSLT 2023

Danni Liu, Thai Binh Nguyen, Sai Koneru +7

Many existing speech translation benchmarks focus on native-English speech in high-quality recording conditions, which often do not match the conditions in real-life use-cases. In…

cs.CL2016265 cited

Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

Thanh-Le Ha, Jan Niehues, Alexander Waibel

In this paper, we present our first attempts in building a multilingual Neural Machine Translation framework under a unified approach. We are then able to employ attention-based NM…