Search Results for author: Daniel Bermuth

Found 2 papers, 2 papers with code

Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models

2 code implementations29 Jun 2022 Daniel Bermuth, Alexander Poeppel, Wolfgang Reif

In Spoken Language Understanding (SLU) the task is to extract important information from audio commands, like the intent of what a user wants the system to do and special entities like locations or numbers.

 Ranked #1 on Spoken Language Understanding on Fluent Speech Commands (using extra training data)

Intent Classification Slot Filling +1

Scribosermo: Fast Speech-to-Text models for German and other Languages

2 code implementations15 Oct 2021 Daniel Bermuth, Alexander Poeppel, Wolfgang Reif

Recent Speech-to-Text models often require a large amount of hardware resources and are mostly trained in English.

 Ranked #1 on Speech Recognition on Common Voice French (using extra training data)

Speech Recognition Transfer Learning

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