In this paper, we describe our solution for live TV subtitling. The subtitling system uses the respeaking concept with respeakers closely tied with the automatic speech recognition system. The ASR is specially tailored to the live subtitling task by using respeaker-specific acoustic mod...

Large audio archives with spoken content are natural candidates for question answering systems. Oral history archives generally contain many facts and stories that would be otherwise hard to obtain without listening to hours of recordings. We strive for making the archive more accessibl...

The chief objective of the study was to observe phrasing behaviour of transformer-based neural networks from the linguistic point of view. The transformer-based architecture mapped prosodic phrasing in isolated sentences read out on request, but was commanded to predict prosodic phrases in&#...

This paper deals with the description of a drone management system for long-term missions called DronePort. First, the issue of long-term missions and possible approaches are outlined. Further, the individual components of proposed system, both hardware, and software are introduced. The Dron...

The Malach Project [6] verified the possibility of using automatic speech recognition (ASR) methods to search for information in large multilingual archives of Holocaust testimonies. After the end of the MALACH project, in which we participated, we continued to work on the completion&#x...

In this paper, we focus on the issue of speaker diarization of data from a real call center. We have previously proposed a specialized solution to the problem, which employed additional knowledge about the identities of the phone operators (in our case, the language counselors...

In this paper, it is discussed the problem of long-term visual localization with a using of the Aachen Day-Night dataset. Our experiments confirmed that carefully fine-tuning parameters of the Hierarchical Localization method can lead to enhance the visual localization accuracy. Next, our&#x...

This paper deals with the state estimation of non-linear stochastic dynamic systems, both continuous and discrete in time, with an emphasis on a numerical solution to the Bayesian relations by the point-mass filters. The filters for discrete-discrete and continuous-discrete state-space models...

In distributed estimation, several sensor nodes provide estimates of the same underlying dynamic process. These estimates are correlated but due to local processing, the correlations are only partially known or even unknown. For a consistent fusion of the local estimates, the correlation...

Monitoring of blade vibration is an important part in the maintenance of the rotating machine and its proper operation. The signal analysis of blade vibration plays an important role in detection of the blade structure change. Early detection can avoid unnecessary losses. This is&#...

This paper presents experiments with a multi-lingual multi-speaker TTS synthesis system jointly trained on English, German, Russian, and Czech speech data. The experimental LSTM-based TTS system with a trainable neural vocoder utilizes the International Phonetic Alphabet (IPA) which allows a stra...

In this paper, we progress further in the development of an automatic GCI detection model. In previous papers, we compared XGBoost with other supervised learning models just as with a deep one-dimensional convolutional neural network. Here we aimed to compare a deep one-dimensional ...

In recent years, the concept of end-to-end text-to-speech synthesis has begun to attract the attention of researchers. The motivation is simple – replacing the individual modules that TTS traditionally built on with a powerful deep neural network simplifies the architecture of the entir...

Czech and Slovak languages are very similar, not only in writing but also in phonetic form. This work aims to find a suitable combination of these two languages concerning better recognition results. We would like to show such a contribution on the Malach project. The Mal...

The paper proposes a module for automatic punctuation prediction and casing reconstruction based on transformers architectures (BERT/T5) that constitutes the current state-of-the-art in many similar NLP tasks. The main motivation for our work was to increase the readability of the ASR o...

Despite the increasing popularity of end-to-end text-to-speech (TTS) systems, the correct grapheme-to-phoneme (G2P) module is still a crucial part of those relying on a phonetic input. In this paper, we, therefore, introduce a T5G2P model, a Text-to-Text Transfer Transformer (T5) neural netw...

Ensuring the reliability of the steam turbine is fundamental task for a proper operation. Monitoring systems are traditionally used for this purpose. Early detection of initial mechanical change can avoid time and financial losses. The last stage blades of low-pressure turbine can be&#x...

This article describes an automatic system for detection, classification and segmentation of individual coral substrates in underwater images. The proposed system achieved the best performances in both tasks of the second edition of the ImageCLEFcoral competition. Specifically, mean average precision&...

Nowadays, model-based and knowledge-based system engineering bring completely new demands also to the master degree teaching process and programs. Specifically, it is necessary to establish gluing technologies between individual master degree courses while full STEM education scope is covered. Since&#...

Transcription of User Interface (UI) elements hand drawings to the computer code is a tedious and repetitive task. Therefore, a need arose to create a system capable of automating such process. This paper describes a deep learning-based method for hand-drawn user interface elements ...