Evaluating natural language understanding services for conversational question answering systems

D Braun, AH Mendez, F Matthes… - Proceedings of the 18th …, 2017‏ - aclanthology.org
Conversational interfaces recently gained a lot of attention. One of the reasons for the
current hype is the fact that chatbots (one particularly popular form of conversational …

Α benchmarking of IBM, Google and Wit automatic speech recognition systems

F Filippidou, L Moussiades - Ifip international conference on artificial …, 2020‏ - Springer
As the requirements for automatic speech recognition are continually increasing, the
demand for accuracy and efficiency is also of particular interest. In this paper, we present …

[HTML][HTML] Human-robot-interaction using cloud-based speech recognition systems

C Deuerlein, M Langer, J Seßner, P Heß, J Franke - Procedia Cirp, 2021‏ - Elsevier
Progress in natural speech processing has enabled significantly more powerful speech
processing systems, primarily due to the use of machine learning technologies. In order to …

You don't understand me!: Comparing ASR results for L1 and L2 speakers of Swedish

R Cumbal, B Moell, J Lopes, O Engwall - arxiv preprint arxiv:2405.13379, 2024‏ - arxiv.org
The performance of Automatic Speech Recognition (ASR) systems has constantly increased
in state-of-the-art development. However, performance tends to decrease considerably in …

Evaluation of off-the-shelf speech recognizers across diverse dialogue domains

K Georgila, A Leuski, V Yanov… - Proceedings of the Twelfth …, 2020‏ - aclanthology.org
We evaluate several publicly available off-the-shelf (commercial and research) automatic
speech recognition (ASR) systems across diverse dialogue domains (in US-English). Our …

Open source german distant speech recognition: Corpus and acoustic model

S Radeck-Arneth, B Milde, A Lange, E Gouvêa… - Text, Speech, and …, 2015‏ - Springer
We present a new freely available corpus for German distant speech recognition and report
speaker-independent word error rate (WER) results for two open source speech recognizers …

[HTML][HTML] What automatic speech recognition can and cannot do for conversational speech transcription

SOC Russell, I Gessinger, A Krason, G Vigliocco… - Research Methods in …, 2024‏ - Elsevier
Transcripts are vital in any research involving conversation. Most transcription is conducted
manually, by experts; a process which can take many times longer than the conversation …

Recognising conversational speech: What an incremental asr should do for a dialogue system and how to get there

T Baumann, C Kennington, J Hough… - Dialogues with social …, 2017‏ - Springer
Automatic speech recognition (asr) is not only becoming increasingly accurate, but also
increasingly adapted for producing timely, incremental output. However, overall accuracy …

A study of automatic speech recognition in noisy classroom environments for automated dialog analysis

N Blanchard, M Brady, AM Olney, M Glaus… - Artificial Intelligence in …, 2015‏ - Springer
The development of large-scale automatic classroom dialog analysis systems requires
accurate speech-to-text translation. A variety of automatic speech recognition (ASR) engines …

Improving domain-independent cloud-based speech recognition with domain-dependent phonetic post-processing

J Twiefel, T Baumann, S Heinrich… - Proceedings of the AAAI …, 2014‏ - ojs.aaai.org
Automatic speech recognition (ASR) technology has been developed to such a level that off-
the-shelf distributed speech recognition services are available (free of cost), which allow …