Effect of train type on annoyance and acoustic features of the rolling noise

Kasess, Christian H.; Noll, A. Michael; Majdak, Piotr; Waubke, Holger

doi:10.1121/1.4812771

Cited by 16 publications

(8 citation statements)

References 24 publications

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“…To detect ultrasonic vocalizations and process the sound files, we implemented the Automatic Mouse Ultrasound Detector (A-MUD), which detects elements (i.e., putative vocalizations detected by A-MUD) and quantifies spectro-temporal features such as the frequency, amplitude and time parameters of the elements [18,44]. This tool is implemented as a script in STx (requiring at least S_TOOLS-STx version 4.3), a software from the Acoustic Research Institute (Austria) that is free for scientific use, and is useful for processing large quantities of data in a timely fashion, such as for speech analysis [47,48], noise evaluation [49,50], and psychoacoustics [51]. We developed an improved version of A-MUD (version 3.2) and evaluated its performance (see S1 Methods in S1 File).…”

Section: Detecting Vocalizations and Processing Sound Filesmentioning

confidence: 99%

Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female

et al. 2020

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Males in a wide variety of taxa, including insects, birds and mammals, produce vocalizations to attract females. Male house mice emit ultrasonic vocalizations (USVs), especially during courtship and mating, which are surprising complex. It is often suggested that male mice vocalize at higher rates after interacting with a female, but the evidence is mixed depending upon the strain of mice. We conducted a study with wild-derived house mice (Mus musculus musculus) to test whether male courtship vocalizations (i.e., vocalizations emitted in a sexual context) are influenced by a prior direct interaction with a female, and if so, determine how long the effect lasts. We allowed sexually naïve males to directly interact with a female for five minutes (sexual priming), and then we recorded males’vocalizations either 1, 10, 20, or 30 days later when presented with an unfamiliar female (separated by a perforated partition) and female scent. We automatically detected USVs and processed recordings using the Automatic Mouse Ultrasound Detector (A-MUD version 3.2), and we describe our improved version of this tool and tests of its performance. We measured vocalization rate and spectro-temporal features and we manually classified USVs into 15 types to investigate priming effects on vocal repertoire diversity and composition. After sexual priming, males emitted nearly three times as many USVs, they had a larger repertoire diversity, and their vocalizations had different spectro-temporal features (USV length, slope and variability in USV frequency) compared to unprimed controls. Unprimed control males had the most distinctive repertoire composition compared to the primed groups. Most of the effects were found when comparing unprimed to all primed males (treatment models), irrespective of the time since priming. Timepoint models showed that USV length increased 1 day after priming, that repertoire diversity increased 1 and 20 days after priming, and that the variability of USV frequencies was lower 20 and 30 days after priming. Our results show that wild-derived male mice increased the number and diversity of courtship vocalizations if they previously interacted with a female. Thus, the USVs of house mice are not only context-dependent, they depend upon previous social experience and perhaps the contexts of these experiences. The effect of sexual priming on male courtship vocalizations is likely mediated by neuro-endocrine-mechanisms, which may function to advertise males’ sexual arousal and facilitate social recognition.

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Section: Detecting Vocalizations and Processing Sound Filesmentioning

confidence: 99%

Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female

et al. 2020

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“…STx is used for processing large quantities of data in a timely fashion [45, 46], such as for speech analysis [47, 48], noise evaluation [49, 50], and psychoacoustics [51]. It is designed to organize and process large collections of signal and segment data and to implement a large number of signal processing algorithms and elaborate interactive tools.…”

Section: Methodsmentioning

confidence: 99%

Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations

et al. 2017

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House mice (Mus musculus) emit complex ultrasonic vocalizations (USVs) during social and sexual interactions, which have features similar to bird song (i.e., they are composed of several different types of syllables, uttered in succession over time to form a pattern of sequences). Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD). A-MUD is a script that runs on STx acoustic software (S_TOOLS-STx version 4.2.2), which is free for scientific use. This algorithm improved the efficiency of processing USV files, as it was 4–12 times faster than manual segmentation, depending upon the size of the file. We evaluated A-MUD error rates using manually segmented sound files as a ‘gold standard’ reference, and compared them to a commercially available program. A-MUD had lower error rates than the commercial software, as it detected significantly more correct positives, and fewer false positives and false negatives. The errors generated by A-MUD were mainly false negatives, rather than false positives. This study is the first to systematically compare error rates for automatic ultrasonic vocalization detection methods, and A-MUD and subsequent versions will be made available for the scientific community.

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“…For all datasets, manual USV classification was conducted in STx (Balazs et al, 2000;Kasess et al, 2013). Spectrograms in STx were generated using a Hanning window with a range of 50dB, a frame of 4 ms and an overlap of 75% and the spectrogram displayed frequencies up to 150 kHz (Zala et al, 2017a), Zala et al, unpublished data, (Nicolakis et al (2020), and (Marconi et al, 2020)).…”

Section: Usv Detection and Manual Classificationmentioning

confidence: 99%

Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)

Abbasi

Balázs²,

Marconi

et al. 2021

Preprint

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House mice communicate through ultrasonic vocalizations (USVs), which are above the range of human hearing (>20 kHz), and several automated methods have been developed for USV detection and classification. Here we evaluate their advantages and disadvantages in a full, systematic comparison. We compared the performance of four detection methods, DeepSqueak (DSQ), MUPET, USVSEG, and the Automatic Mouse Ultrasound Detector (A-MUD). Moreover, we compared these to human-based manual detection (considered as ground truth), and evaluated the inter-observer reliability. All four methods had comparable rates of detection failure, though A-MUD outperformed the others in terms of true positive rates for recordings with low or high signal-to-noise ratios. We also did a systematic comparison of existing classification algorithms, where we found the need to develop a new method for automating the classification of USVs using supervised classification, bootstrapping on Gammatone Spectrograms, and Convolutional Neural Networks algorithms with Snapshot ensemble learning (BootSnap). It successfully classified calls into 12 types, including a new class of false positives used for detection refinement. BootSnap provides enhanced performance compared to state-of-the-art tools, it has an improved generalizability, and it is freely available for scientific use.

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Effect of train type on annoyance and acoustic features of the rolling noise

Cited by 16 publications

References 24 publications

Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female

Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female

Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations

Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)

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