Speech-to-Text applications have made dazzling progress in recent years (e.g. Whisper). However, since they are usually intended to generate texts conform to written standards, they tend to blur marks of an oral nature (e.g. repetitions, pauses in the stream of words, phatics like er…). Thus, even if such applications suggest huge benefits in terms of working time as well as transcription accuracy, they remain inadequate for verbal exchanges analysis. Relying on a sample of transcripts from medical consultations anticipating an (...) awake brain-surgery (a research now in progress), this study aims at three goals: (i) drawing up an inventory of difficulties revealed by the use of Whisper from a speech analyst perspective; (ii) clarifying the origins of these difficulties; (iii) suggesting ways to overcome them. (shrink)

In this paper, we study the performance of baseline hidden Markov model (HMM) for segmentation of speech signals. It is applied on single-speaker segmentation task, using Hindi speech database. The automatic phoneme segmentation framework evolved imitates the human phoneme segmentation process. A set of 44 Hindi phonemes were chosen for the segmentation experiment, wherein we used continuous density hidden Markov model (CDHMM) with a mixture of Gaussian distribution. The left-to-right topology with no skip states has been selected as it (...) is effective in speech recognition due to its consistency with the natural way of articulating the spoken words. This system accepts speech utterances along with their orthographic “transcriptions” and generates segmentation information of the speech. This corpus was used to develop context-independent hidden Markov models (HMMs) for each of the Hindi phonemes. The system was trained using numerous sentences that are relevant to provide information to the passengers of the Metro Rail. The system was validated against a few manually segmented speech utterances. The evaluation of the experiments shows that the best performance is obtained by using a combination of two Gaussians mixtures and five HMM states. A category-wise phoneme error analysis has been performed, and the performance of the phonetic segmentation has been reported. The modeling of HMMs has been implemented using Microsoft Visual Studio 2005 (C++), and the system is designed to work on Windows operating system. The goal of this study is automatic segmentation of speech at phonetic level. (shrink)

This article is concerned with the problem of the relation between the genetic information contained in the DNA and the emergence of visible structure in multicellular animals. The answer is sought in a reappraisal of the data of experimental embryology, considering molecular, cellular and organismal aspects. The presence of specific molecules only confers a tissue identity on the cells when their concentration exceeds the threshold of differentiation. When this condition is not fulfilled the activity of the genes that code for (...) the specific molecules in question only confers on them a histogenetic potency, i.e. the capacity to form the corresponding tissue in further development (or to transdifferentiate to that tissue). The progressive restriction of histogenetic potencies during development reflects the irreversible repression of more and more genes. The establishment of a given tissue identity under the influence of an inducing tissue (or a morphogenetic hormone) is only possible when the cells have acquired the competence to respond. Tissue differentiation proceeds progressively during development thanks to the cytoplasmic memory that cells retain collectively (or sometimes individually) of the items of information successively registered by their ancestors cells. The increasing complexity of visible structure emerging during development results only from the progression of tissue differentiation. This involves continual exchange of information among the cells and leads to (1) cell displacements and rearrangements, particularly during organogenesis and (2) extreme diversification of cell individualities within tissues, particularly during postembryonic growth. A mutation (just as a teratogenic factor) evokes an anomaly that is localized in both space and time because it alters a certain aspect of cell behaviour (particularly cell surface adhesiveness or mitotic activity) at the time when this is involved in the establishment of a particular structural trait. Neither the organization of the adult nor the modalities of development are encoded in the DNA. The automatic concatenation of cell interactions in the embryo and the structural amplification it entails is conditioned by the specific biochemical composition of the cytoplasm of the egg and by the heterogeneous distribution of its inclusions. (shrink)

AimsThis study evaluates a protocol for early, routine ethics consultation for patients on extracorporeal membrane oxygenation to support decision-making in the context of clinical uncertainty with the aim of mitigating ethical conflict and moral distress.MethodsWe conducted a single-site qualitative analysis of EC documentation for all patients receiving ECMO support from 15 August 2018 to 15 May 2019. Detailed analysis of 20 ethically complex cases with protracted ethics involvement identifies four key ethical domains: limits of prognostication, bridge to nowhere, burden of (...) treatment and system-level concerns. There are three subthemes: relevant contextual factors, the role of EC and observed outcomes. Content analysis of transcripts from interviews with 20 members of the multidisciplinary ECMO team yields supplemental data on providers’ perceptions of the impact of the early intervention protocol.ResultsLimited outcome data for ECMO, unclear indications for withdrawal, adverse effects of treatment and an obligation to attend to programme metrics present significant ethical challenges in the care of this patient population. Upstream EC mitigates ethical conflict by setting clear expectations about ECMO as a time limited trial, promoting consistent messaging among multiple services and supporting surrogate decision-makers. When ECMO becomes a ‘bridge to nowhere’, EC facilitates decision-making that respects patient values yet successfully sets limits on non-beneficial use of this novel therapy.ConclusionData from this study support the conclusion that ECMO poses unique ethical challenges that necessitate a standardised protocol for early, routine EC—at least while this medical technology is in its nascent stages. (shrink)

Language sample analysis is an important practice for providing a culturally sensitive and accurate assessment of a child's language abilities. A child's usage of literate language devices in narrative samples has been shown to be a critical target for evaluation. While automated scoring systems have begun to appear in the field, no such system exists for conducting progress-monitoring on literate language usage within narratives. The current study aimed to develop a hard-coded scoring system called the Literate Language Use in Narrative (...) Assessment, to automatically evaluate six aspects of literate language in non-coded narrative transcripts. LLUNA was designed to individually score six literate language elements. The interrater reliability of LLUNA with an expert scorer, as well as its' reliability compared to certified undergraduate scorers was calculated using a quadratic weighted kappa. Results indicated that LLUNA met strong levels of interrater reliability with an expert scorer on all six elements. LLUNA also surpassed the reliability levels of certified, but non-expert scorers on four of the six elements and came close to matching reliability levels on the remaining two. LLUNA shows promise as means for automating the scoring of literate language in LSA and narrative samples for the purpose of assessment and progress-monitoring. (shrink)

“Mechanical objectivity,” which Lorraine Daston and Peter Galison trace to the mid-nineteenth century, often coincided with efforts to inscribe nature “directly,” such as through automatic registering machines. But what did this inscription entail? Addressing this question requires that we reexamine indexicalization: the shift in semiotic ideology whereby medial technologies are imagined and acted on as if they preserved material traces of the real. Indexicalization is no simple reflex of mechanical objectivity and is more varied and consequential than commonly imagined. (...) This essay demonstrates this by returning to the sciences of face-to-face interaction, which crystallized in postwar America but drew inspiration from earlier research on talk therapy. Returning to efforts to record psychoanalysis sessions in the early 1930s “objectively,” it chronicles a shift in the technosemiotic mediation of knowledge. Whereas transcripts were originally “verbatim” records of literal content, researchers came to seek tacit, symptomological signs. And whereas mechanical recording was introduced to avoid an observer effect, it was later deemed necessary to preserve indexical traces for fine-grained analysis. This indexicalization had ontological as well as epistemological effects, and it was inspired not by mechanical objectivity but by the parallel capacities of the perceptive psychoanalyst and the receptive mechanical recorder, both virtuosic in registering the indexical richness of the communicative unconscious. (shrink)

The question of conjoined artistic- and phenomenological research practice is explored through two realizations of a drawing-based practice, complemented with a language-based practice that includes transcriptions of a spoken monologue while and about drawing. Through adapting the sense that the monologue’s addressee is an apparently other person, and narrating this situation, the author expresses through the article that the experiential process of drawing is automatically phenomenological. In turn, the article is a presentation of how phenomenological reflection is implicit in the (...) practice. The artist- referenced in the article is termed the artist-author, declared as such to the reader, and is thereafter suggested as split into an apparently more reflexively inclined artist and a more reflectively inclined author/interlocutor. The hypothesis that both artistic- and phenomenological research can manifest as a single practice is embedded in the article’s manner of presentation, the reader of which is almost in the same interlocutory position as the author-, of the artist-author, in being able to notice this. The article’s actual author, however, refers to himself as a homunculus, in effect the hyphen of artist-author, that enables him to detach sufficiently from what can be read and seen to format the article in such terms as enable the reader to critically reflect on its hypothesis. The role of the camera itself, considered as a metaphor for interaction between the reflexive event and its subsequent language-based reflection, is also acknowledged, especially in the context of the artist-’s referencing in the drawing and in his speech how the camera both aids and obfuscates the process, and linking this to theory. The transcript conveys spoken enunciation, especially through its grammatically formatted disfluency and extended pauses, and the author’s personal declaration and observation of himself – reminding the reader that the article’s content is after all about its narrator – is italicized. (shrink)

The ongoing coronavirus 2019 pandemic caused by the severe acute respiratory syndrome coronavirus 2 has resulted in a severe ramification on the global healthcare system, principally because of its easy transmission and the extended period of the virus survival on contaminated surfaces. With the advances in computer-aided diagnosis and artificial intelligence, this paper presents the application of deep learning and adversarial network for the automatic identification of COVID-19 pneumonia in computed tomography scans of the lungs. The complexity and time (...) limitation of the reverse transcription-polymerase chain reaction swab test makes it disadvantageous to depend solely on as COVID-19’s central diagnostic mechanism. Since CT imaging systems are of low cost and widely available, we demonstrate that the drawback of the RT-PCR can be alleviated with a faster, automated, and reduced contact diagnostic process via the use of a neural network model for the classification of infected and noninfected CT scans. In our proposed model, we explore the benefit of transfer learning as a means of resolving the problem of inadequate dataset and the importance of semisupervised generative adversarial network for the extraction of well-mapped features and generation of image data. Our experimental evaluation indicates that the proposed semisupervised model achieves reliable classification, taking advantage of the reflective loss distance between the real data sample space and the generated data. (shrink)

Nous présentons une étude fondée sur un corpus de transcriptions de consultations médicales, dans le cadre d’un projet interdisciplinaire qui explore la question des inégalités sociales de santé. L’objet de cet article est de montrer comment, en tant que linguistes familiers du traitement outillé des corpus, nous avons choisi d’aborder ce matériau qui fait l’objet de questionnements disciplinaires complémentaires, et quels éléments de caractérisation spécifiques nous sommes en mesure d’apporter en réponse à une demande émanant de la sphère médicale.

This article reports on developing and evaluating a generic Handwritten Text Recognition (HTR) model created for the automatic computer-assisted transcription of Ukrainian handwriting publicly available via the HTR platform Transkribus. The model’s training process encompasses diverse datasets, including historical manuscripts by renowned poets Taras Shevchenko and Lesya Ukrainka, along with private correspondence used for the General Regionally Annotated Corpus of Ukrainian (GRAC) and a diary procured at the Holodomor Museum collection. We evaluate the model’s performance by comparing its (...) theoretical accuracy, with a character error rate (CER) of 4.2%, against its practical efficacy when augmented with an AI-based language model for Ukrainian and a Large Language Model. The model is versatile and functional and can thus be applied for mass-digitization of Ukrainian cultural heritage. In our outlook section, we identify possibilities for further improving the model. (shrink)

The generalised, automated reconstruction of the reasoning structures underlying persuasive communication is an enormously challenging task. While this work in argument mining is increasingly informed by the rich tradition of argumentation studies outside the computational field, the rhetorical perspective on argumentation is thus far largely ignored. To explore the application of rhetorical insights in argument mining, we conduct a pilot study on the connection between rhetorical figures and argumentation structure. Rhetorical figures are linguistic devices that perform a variety of functions (...) in argumentative discourse. The textual form of some of these figures is easy to identify automatically, such that an established connection between the figure and a preponderance of argumentative content would improve the performance of argument mining techniques. Furthermore, the automated mining of rhetorical figures could be used as an empirical, corpus-based testing ground for the claims made about these figures in the rhetorical literature. In the pilot study, we explore the connection between eight rhetorical figures the forms of which we expect to be relatively easy to identify computationally, and argumentation structure (concretely, we consider the six schemes ‘anadiplosis’, ‘epanaphora’, ‘epistrophe’, ‘epizeuxis’, ‘eutrepismus’, and ‘polyptoton’, and the two tropes ‘antithesis’ and ‘dirimens copulatio’, and relate their occurrences to relations of inference and conflict). The data of the study is collected in the MM2012c corpus of 39,694 words of argumentatively annotated transcripts from the BBC Radio 4’s Moral Maze discussion program. We show that some of the figures indeed correspond to passages of high argumentative density, relative to the text as a whole. (shrink)

In the field of NLP, “noise” is a notion with many different meanings. This is also true in fields of linguistics in which the analysis of ecological data is central.In studies involving corpus linguistic methods, noise management is an essential process for data collection, data structuration and data analysis. Paradoxically, this step is almost never developed, or completely ignored.In this paper, we propose to focus on the management of noise during the various stages classically defined in the processing of an (...) oral corpus: data structuration (including transcription), data enrichment (including annotation) and data analysis.We show that noise management is a cross-cutting issue: it needs to be taken into account during the phases of structuration, data enrichment and analysis of linguistic corpora. More specifically, the creation of corpora of children’s productions leads us to manage a particular type of noise: the variation regarding the so-called “standard” forms. For noise management, we show that there is no ideal methodology: noise management is specific to each project. Moreover, decisions taken at one stage necessarily influence the others: a noise generated during data structuration may cause a silence during automatic processing; a noise “cleaned up” during the processing phase may generate a silence during analysis. (shrink)

Automaticity is rapid and effortless cognition that operates without conscious awareness or deliberative control. An action is virtuous to the degree that it meets the requirements of the ethical virtues in the circumstances. What contribution does automaticity make to the ethical virtue of an action? How far is the automaticity discussed by virtue ethicists consonant with, or even supported by, the findings of empirical psychology? We argue that the automaticity of virtuous action is automaticity not of skill, but of motivation. (...) Automatic motivations that contribute to the virtuousness of an action include not only those that initiate action, but also those that modify action and those that initiate and shape deliberation. We then argue that both goal psychology and attitude psychology can provide the cognitive architecture of this automatic motivation. Since goals are essentially directed towards the agent’s own action whereas attitudes are not, we argue that goals might underpin some virtues while attitudes underpin others. We conclude that consideration of the cognitive architecture of ethical virtue ought to engage with both areas of empirical psychology and should be careful to distinguish among ethical virtues. (shrink)

Transcription factor binding sites (TFBSs) on the DNA are generally accepted as the key nodes of gene control. However, the multitudes of TFBSs identified in genome‐wide studies, some of them seemingly unconstrained in evolution, have prompted the view that in many cases TF binding may serve no biological function. Yet, insights from transcriptional biochemistry, population genetics and functional genomics suggest that rather than segregating into ‘functional’ or ‘non‐functional’, TFBS inputs to their target genes may be generally cumulative, with varying (...) degrees of potency and redundancy. As TFBS redundancy can be diminished by mutations and environmental stress, some of the apparently ‘spurious’ sites may turn out to be important for maintaining adequate transcriptional regulation under these conditions. This has significant implications for interpreting the phenotypic effects of TFBS mutations, particularly in the context of genome‐wide association studies for complex traits. (shrink)

Social psychologists tell us that much of human behavior is automatic. It is natural to think that automatic behavioral dispositions are ethically desirable if and only if they are suitably governed by an agent’s reflective judgments. However, we identify a class of automatic dispositions that make normatively self-standing contributions to praiseworthy action and a well-lived life, independently of, or even in spite of, an agent’s reflective judgments about what to do. We argue that the fundamental questions for (...) the "ethics of automaticity" are what automatic dispositions are (and are not) good for and when they can (and cannot) be trusted. (shrink)

Adoption of technology in agriculture can significantly reorganize production and relationships amongst humans, animals, technology, and the natural environment. However, the adoption of agricultural technology is not homogenous, and diversity in integration leads to a diversity of outcomes and impacts. In this study, we examine the adoption of automated milking systems in small and midsize dairy farms in the US Midwest, the Netherlands, and Denmark. In contrast to technological determinism, we find significant variation amongst adopters in the implementation of AMS (...) and corresponding variation in outcomes. Adopters have significant discretion in determining the use of AMS, which leads to a diversity of possible outcomes for family and non-family labor, human–cow relationships, animal welfare, the environment, and financial resiliency. Adoption and implementation are shaped by both structural factors, such as debt load and labor market variation, and by farmers’ individual personality traits and values, such as a willingness to release control to technology. Rather than uniform adoption and impacts of technology, we highlight the importance of context, the co-constitution of technology and users, and the diversity of technology adoption and its associated impacts. (shrink)

I argue that so-called automatic actions – routine performances that we successfully and effortlessly complete without thinking such as turning a door handle, downshifting to 4th gear, or lighting up a cigarette – pose a challenge to causalism, because they do not appear to be preceded by the psychological states which, according to the causal theory of action, are necessary for intentional action. I argue that causalism cannot prove that agents are simply unaware of the relevant psychological states when (...) they act automatically, because these content-specific psychological states aren’t always necessary to make coherent rational sense of the agent’s behaviour. I then dispute other possible grounds for the attribution of these psychological states, such as agents’ own self-attributions. In the final section I introduce an alternative to causalism, building on Frankfurt’s concept of guidance. (shrink)

Nucleosomes are the basic elements of chromatin structure. Polyamines, such as spermine and spermidine, are small ubiquitous molecules absolutely required for cell growth. Photoaffinity polyamines bind to specific locations in nucleosomes and can change the helical twist of DNA in nucleosomes. Acetylation of polyamines reduces their affinity for DNA and nucleosomes, thus the helical twist of DNA in nucleosomes could be regulated by cells through acetylation. I suggest that histone and polyamine acetylation act synergistically to modulate chromatin structure. On naked (...) DNA, the photoaffinity spermine bound preferentially to a specific ‘TATA’ sequence element, suggesting that polyamines may be involved in the unusual chromatin structure in this region. Further work is needed to test whether the specificities shown by photoaffinity polyamines are also shown by cellular polyamines; such experiments are now feasible. (shrink)

According to grounded cognition, words whose semantics contain sensory-motor features activate sensory-motor simulations, which, in turn, interact with spatial responses to produce grounded congruency effects. Growing evidence shows these congruency effects do not always occur, suggesting instead that the grounded features in a word's meaning do not become active automatically across contexts. Researchers sometimes use this as evidence that concepts are not grounded, further concluding that grounded information is peripheral to the amodal cores of concepts. We first review broad evidence (...) that words do not have conceptual cores, and that even the most salient features in a word's meaning are not activated automatically. Then, in three experiments, we provide further evidence that grounded congruency effects rely dynamically on context, with the central grounded features in a concept becoming active only when the current context makes them salient. Even when grounded features are central to a word's meaning, their activation depends on task conditions. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

This paper provides an overview of developments in a dual processing theory of automatic and controlled processing that began with the empirical and theoretical work described by Schneider and Shiffrin (1977) and Shiffrin and Schneider (1977) over a quarter century ago. A review of relevant empirical findings suggests that there is a set of core behavioral phenomena reflecting differences between controlled and automatic processing that must be addressed by a successful theory. These phenomena relate to: consistency in training, (...) serial versus parallel processing, level of effort, robustness to stressors, degree of control, effects on long‐term memory, and priority encoding. We detail a computational model of controlled processing, CAP2, that accounts for these phenomena as emergent properties of an underlying hybrid computational architecture. The model employs a large network of distributed data modules that can categorize, buffer, associate, and prioritize information. Each module is a connectionist network with input and output layers, and each module communicates with a central Control System by outputting priority and activity report signals, and by receiving control signals. The Control System is composed of five processors including a Goal Processor, an Attention Controller, an Activity Monitor, an Episodic Store, and a Gating & Report Relay. The transition from controlled to automatic processing occurs in this model as the data modules become capable of transmitting their output without mediation by the Control System. We describe recent progress in mapping the components of this model onto specific neuroanatomical substrates, briefly discuss the potential for applying functional neuroimaging techniques to test the model's predictions, and its relation to other models. (shrink)

In eukaryotes, the messenger RNA (mRNA), the blueprint of a protein‐coding gene, is processed and packaged into a messenger ribonucleoprotein particle (mRNP) by mRNA‐binding proteins in the nucleus. The steps of mRNP formation – transcription, processing, packaging, and the orchestrated release of the export‐competent mRNP from the site of transcription for nuclear mRNA export – are tightly coupled to ensure a highly efficient and regulated process. The importance of highly accurate nuclear mRNP formation is illustrated by the fact (...) that mutations in components of this pathway lead to cellular inviability or to severe diseases in metazoans. We hypothesize that efficient mRNP formation is realized by a molecular mRNP packaging station, which is built by several recruitment platforms and coordinates the individual steps of mRNP formation. (shrink)

Transcription phonétique des grands corpus littéraires. Les règles du jeu Le perfectionnement des phonétiseurs permet aujourd'hui d'envisager la transcription phonétique de grands ensembles textuels et, par conséquent, de doter la stylométrie de nouvelles capacités dans le domaine de l'analyse des effets sonores. Cet article montre, sur l'exemple d'une étude de La Règle du jeu de Michel Leiris menée à l'aide de LAIPTTS-SpeechMill (Université de Lausanne) et Mbrola (Faculté Polytechnique de Mons), quelles procédures et quelles précautions on se doit (...) d'associer à de telles entreprises. Le repérage et l’étude des allitérations et des assonances, des homophones, la détermination de la tonalité phonique d’une partie du texte montrent tout à la fois les perspectives et les limites de ce type d'approche du texte littéraire. (shrink)