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Search results for: EFEKT LOMBARDA
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Arte Lombarda
Journals -
Efekt dopplera w systemach hydrolokacyjnych
PublicationReferat zawiera przegląd problematyki zjawiska Dopplera w systemach hydrolokacyjnych. Przegląd poprzedzony jest omówieniem efektu Dopplera w kategorii kompresji czasu. Następnie przedstawiono metody wykorzystania zjawiska Dopplera do pomiaru prędkości ruchu i położeniaobserwowanych obiektów oraz wykorzystanie tego zjawiska w sonarach z syntetyczną aperturą. W drugiej części referatu omówiono negatywne skutki zjawiska Dopplera i...
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Koszt pozyskania kapitału a efekt dźwigni finansowej
PublicationW pracy zdefiniowano koszt kapitału i określono jego kategorie. Zdefiniowano więc zarówno średni, jak i krańcowy koszt kapitału. Wykazano znaczenie kosztu kapitału w zarządzaniu finansami przedsiębiorstwa. Przedstawiono metody szacowania kosztu kapitalu. Przybliżono problematykę dźwigni finansowej.
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Applying the Lombard Effect to Speech-in-Noise Communication
PublicationThis study explored how the Lombard effect, a natural or artificial increase in speech loudness in noisy environments, can improve speech-in-noise communication. This study consisted of several experiments that measured the impact of different types of noise on synthesizing the Lombard effect. The main steps were as follows: first, a dataset of speech samples with and without the Lombard effect was collected in a controlled setting;...
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Constructing a Dataset of Speech Recordingswith Lombard Effect
PublicationThepurpose of therecordings was to create a speech corpus based on the ISLEdataset, extended with video and Lombard speech. Selected from a set of 165sentences, 10, evaluatedas having thehighest possibility to occur in the context ofthe Lombard effect,were repeated in the presence of the so-called babble speech to obtain Lombard speech features. Altogether,15speakers were recorded, and speech parameterswere...
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Detecting Lombard Speech Using Deep Learning Approach
PublicationRobust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, assumptions of the work performed for Lombard speech detection are outlined. The framework proposed combines convolutional neural networks...
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INVESTIGATION OF THE LOMBARD EFFECT BASED ON A MACHINE LEARNING APPROACH
PublicationThe Lombard effect is an involuntary increase in the speaker’s pitch, intensity, and duration in the presence of noise. It makes it possible to communicate in noisy environments more effectively. This study aims to investigate an efficient method for detecting the Lombard effect in uttered speech. The influence of interfering noise, room type, and the gender of the person on the detection process is examined. First, acoustic parameters...
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Efekt skali w analizie elementów żelbetowych poddanych ścinaniu
PublicationW pracy przedstawiono problematykę efektu skali w badaniach elementów żelbetowych na ścinanie, jak również sposób ujęcia tego problemu w aktualnie obowiązujących normach projktowania konstrukcji z betonu, w tym normy europejskiej, polskiej, niemieckiej i amerykańskiej.
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Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement
PublicationThe Lombard effect is one of the most well-known effects of noise on speech production. Speech with the Lombard effect is more easily recognizable in noisy environments than normal natural speech. Our previous investigations showed that speech synthesis models might retain Lombard-effect characteristics. In this study, we investigate several speech models, such as harmonic, source-filter, and sinusoidal, applied to Lombard speech...
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Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically
PublicationThe aim of this study is two-fold. First, we perform a series of experiments to examine the interference of different noises on speech processing. For that purpose, we concentrate on the Lombard effect, an involuntary tendency to raise speech level in the presence of background noise. Then, we apply this knowledge to detecting speech with the Lombard effect. This is for preparing a dataset for training a machine learning-based...