paper-with-me

홈 › Papers

Speech Recognition Web Services for Dutch

2014-05-01 · LREC 2014 5 · Joris Pelemans, Kris Demuynck, Hugo Van hamme, Patrick Wambacq

In this paper we present 3 applications in the domain of Automatic Speech Recognition for Dutch, all of which are developed using our in-house speech recognition toolkit SPRAAK. The speech-to-text transcriber is a large vocabulary continuous speech recognizer, optimized for Southern Dutch. It is capable to select components and adjust parameters on the fly, based on the observed conditions in the audio and was recently extended with the capability of adding new words to the lexicon. The grapheme-to-phoneme converter generates possible pronunciations for Dutch words, based on lexicon lookup and linguistic rules. The speech-text alignment system takes audio and text as input and constructs a time aligned output where every word receives exact begin and end times. All three of the applications (and others) are freely available, after registration, as a web application on http://www.spraak.org/webservice/ and in addition, can be accessed as a web service in automated tools.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognitionSpeech RecognitionSpeech-to-Text

Similar Papers 제목 키워드 기반

Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain

2022-06-01 · LREC 2022 6 · Cristian Tejedor-García, Berrie van der Molen, Henk van den Heuvel, Arjan van Hessen 외

The current largest open-source generic automatic speech recognition (ASR) system for Dutch, Kaldi_NL, does not include a domain-specific healthcare jargon in the lexicon. Commercial alternatives (e.g., Google ASR system…

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Domain AdaptationLanguage Modelling+2

Multi-Graph Decoding for Code-Switching ASR

2019-06-18 · Emre Yilmaz, Samuel Cohen, Xianghu Yue, David van Leeuwen 외

In the FAME! Project, a code-switching (CS) automatic speech recognition (ASR) system for Frisian-Dutch speech is developed that can accurately transcribe the local broadcaster's bilingual archives with CS speech. This a…

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language Modellingspeech-recognition+1

Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech

2018-07-28 · Emre Yilmaz, Henk van den Heuvel, David A. van Leeuwen

In this paper, we describe several techniques for improving the acoustic and language model of an automatic speech recognition (ASR) system operating on code-switching (CS) speech. We focus on the recognition of Frisian-…

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Data AugmentationLanguage Modeling+3

Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?

2022-09-01 · KONVENS (WS) 2022 9 · Alianda Lopez, Andreas Liesenfeld, Mark Dingemanse
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognitionSpeech Recognition

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch

2021-09-29 · Jakob Poncelet, Hugo Van hamme

Recent research in speech processing exhibits a growing interest in unsupervised and self-supervised representation learning from unlabelled data to alleviate the need for large amounts of annotated data. We investigate …

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Representation Learningspeech-recognition+1