L'efficacité de la reconnaissance auditive peut être décrite et quantifiée suivant deux aspects différents : la quantité d'information nécessaire pour y parvenir et sa rapidité. L'objectif de cette thèse est d'évaluer expérimentalement ces deux aspects. Dans une première partie expérimentale, nous nous sommes intéressés à la quantité d'information en créant des représentations parcimonieuses de sons naturels originaux appelées esquisses auditives. Nous avons montré qu'une esquisse auditive est reconnue malgré la quantité très limitée d'information auditive présente dans les stimuli. Pour l'analyse des stimuli auditifs, nous avons développé un modèle de distance auditive entre catégories sonores. Pour l'analyse des performances des participants, nous avons développé un modèle pour le calcul de la sensibilité par catégorie sonore et tenant compte du biais, qui s'intègre dans la théorie de détection du signal. Ces analyses nous ont permis de montrer qu'en réalité les résultats ne sont pas équivalents entre les différentes catégories sonores. La voix se démarque des autres catégories testées (e.g. instruments de musique) : la technique de sélection de l'information parcimonieuse ne semble pas adaptée aux indices de la voix. Dans une seconde partie expérimentale, nous avons étudié le décours temporel de la reconnaissance auditive. Afin d'estimer le temps nécessaire au système auditif pour reconnaître un son, nous avons utilisé un récent paradigme de présentation audio séquentielle rapide (RASP, pour Rapid Audio Sequential Presentation). Nous avons montré que moins de 50 ms suffisent pour reconnaître un son naturel court, avec une meilleure reconnaissance pour la pour la voix humaine. / The efficacy of auditory recognition relies on two different aspects: the quantity of information necessary and the processing speed. The objective of this thesis was to experimentally evaluate these two aspects. In a first experimental part, we explored the amount of information by creating sparse representations of original natural sounds to form what is called auditory sketches. We showed that an auditory sketch is recognizable despite the very limited quantity of auditory information in the stimuli. To achieve these results, we dedicated an important part of our work on the elaboration of adequate tools in function of the tested sound categories. Thus, for the analysis of auditory stimuli, we have developed an auditory distance model between sound categories. For the analysis of the performances of the participants, we have developed a model to calculate the sensitivity by sound category and taking into account the bias, which falls within the signal detection theory. These analyses allowed us to show that, actually, the results are not equivalent between the different sound categories. Voices stand out from the other categories tested (e.g. musical instruments): the technique of selection of the sparse information does not seem adapted to the voice features. In a second experimental part, we investigated the temporal course of auditory recognition. To estimate the time necessary for the auditory system to recognize a sound, we used a recent paradigm of Rapid Audio Sequential Presentation (RASP). We showed that less than 50 ms are enough to recognize a short natural sound, with a better recognition for the human voice.

A growing body of research focuses on how background sounds shape and alter critical elements of animals’ lives, such as foraging behavior, habitat use, and ecological interactions (Bradbury & Vehrencamp, 2011; Barber et al., 2010; Kight & Swaddle, 2011; Shannon et al., 2016). Much of this research has centered on the effects of anthropogenic noise (Dominoni et al., 2020; Francis & Barber, 2013; Ortega, 2012; Swaddle et al., 2015), but recent studies have also revealed that natural sound sources can influence animal behavior (Davidson et al., 2017; Le et al., 2019). Natural sounds, such as crashing surf, can create conditions where signaling and listening are difficult, but how this influences different species’ ecological interactions are unknown. To study the effects of crashing surf sound we experimentally introduced landscape-level acoustic playbacks where surf sound was not naturally present to create a “phantom ocean”. Phantom ocean treatment sites were employed alongside higher frequency “shifted” treatment sites to test for frequency-dependent effects, “real ocean” sites where surf sound was endemic, and ambient control sites. The phantom and shifted treatments were played continuously during the spring and summer of 2017-2019. Within this acoustic experimental landscape we conducted multiple studies to test the effects of crashing surf sound on animal behavior, habitat use, and ecological interactions. Through an artificial caterpillar predation experiment modeled after Roslin et al. (2017), we found that when exposed to natural sound treatments the foraging activity of rodents and arthropods increased, while that of birds declined. A potential explanation for this pattern includes taxon-specific responses reflecting different perceived risk-reward trade-offs in natural sound conditions. To follow this up we performed occupancy modeling on data collected by camera traps set within our system. We observed different responses among groups of species with different functional roles in the community for both detection (p) and occupancy (Ψ) probabilities. Our combined results indicate different species and functional groups have unique foraging behavior and patch use responses to natural sounds, likely based on their ecological interactions. Specifically, Cricetid rodents are likely more active in areas exposed to natural sounds, possibly due to lower perceived predation risk because mesocarnivores are less active. Insectivorous birds are also likely less active under natural sounds conditions, although the frequency of the sound, and the body size and diet of the bird appear influential. Together these findings suggest that natural sounds shape not only individual behavioral adjustments, but also multi-trophic, community level interactions. Our results show that natural sounds are an important driver of ecological interactions, but much remains to be uncovered. The mechanisms by which natural sounds influence individuals, populations, and many other aspects of ecology remain unexplored and provide fertile ground for future inquiry.