The most frequent criticism of the target article is the lack of clear separability of human speech data relative to neuroethological data. A rationalization for this difference was sought in the tinkered nature of such new adaptations as human speech. Basic theoretical premises were defended, and new data were presented to support a claim that speakers maintain a low-noise relationship between F2 transition onset and offset frequencies for stops in pre-vocalic positions through articulatory choices. It remains (...) a viable and testable hypothesis that the phenomenon described by the locus equation is a functional adaptation of production mechanisms to processing preferences of the auditory system. (shrink)

During much of the past century, it was widely believed that phonemes--the human speech sounds that constitute words--have no inherent semantic meaning, and that the relationship between a combination of phonemes (a word) and its referent is simply arbitrary. Although recent work has challenged this picture by revealing psychological associations between certain phonemes and particular semantic contents, the precise mechanisms underlying these associations have not been fully elucidated. Here we provide novel evidence that certain phonemes have an inherent, (...) non-arbitrary emotional quality. Moreover, we show that the perceived emotional valence of certain phoneme combinations depends on a specific acoustic feature--namely, the dynamic shift within the phonemes' first two frequency components. These data suggest a phoneme-relevant acoustic property influencing the communication of emotion in humans, and provide further evidence against previously held assumptions regarding the structure of human language. This finding has potential applications for a variety of social, educational, clinical, and marketing contexts. (shrink)

First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

The subject of this paper is the issue of human speech in Aristotle, especially in his work Categories. Its primary goal is to elaborate an interpretation of Aristotle’s statements about human speech as a quantity (Cat. 4b20–b39, 5a15–b2) that would allow them to fit reasonably into the whole of Aristotle’s theory of language. The structure of the paper is as follows. In the first part a certain approach to the question of the reconstruction of Aristotle’s theory (...) of language is proposed. The second part, by means of the introduction of the criteria of separability and ontological priority of the first substance, creates a framework for the subsequent analysis of the two basic classifications, which constitute the main theme of Categories. The third part supplies its own interpretation of the ontological status of human speech in the context of the classification schemes in Categories, and this, in the fourth part, is inserted into the greater whole of Aristotle’s theory of language. (shrink)

We consider Sussman et al. 's suggestion that auditory biases for processing low-noise relationships among pairs of acoustic variables is a preadaptation for human speech processing. Data from other animal communication systems, especially those involving sexual selection, also suggest that neural biases in the receiver system can generate strong selection on the form of communication signals.

Despite the lack of invariance problem (the many‐to‐many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side‐stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real‐world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it (...) difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two‐layer network that borrows one element from ASR, long short‐term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human‐like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR. (shrink)

Pons Asinorum Or The Future of Nonsense George Edinger and E J C Neep Originally published in 1929. "A most entertaining essay, rich in quotation from the old masters of clownship’s craft." Saturday Review The author maintains that true nonsense must be aimless humour – the humour that makes fun as opposed to the humour that makes fun of something. 88pp Democritus Or The Future of Laughter Gerald Gould Originally published in 1929. "Democritus is bound to be among the favourites (...) of the series. Gould’s humour glances at history, morality, and humanity…wise and witty writing." Observer Democritus is intended to illustrate the prevailing fashion in laughter and on the basis of historical and philosophical principles to forecast the humour of the future. 90pp Mrs Fisher Or The Future of Humour Robert Graves Originally published in 1928 "Mr Graves is the best man who could have been chosen to write on this subject." Daily Express "…perfectly irresponsible, as a joker should be." The Times This volume analyzes humour with a solemnity which becomes almost nightmarish. 90pp Babel Or the Past, Present and Future of Human Speech Richard Paget Originally published in 1930. "…stimulating and absorbing." Journal of Education This volume discusses human speech and treats it as a growth which must be tamed if it is to fulfil its highest purpose as a symbolism for human thought. 86pp. (shrink)

A perception-action system may underlie the mechanisms by which human speech exchange in social interaction is managed, as well as the evolutionary precursors of these mechanisms in closely related species. Some phenomena of interaction well-studied by sociologists are suggested as a point of departure for further research.

In 2023, the Grand Chamber of the European Court of Human Rights issued its ruling in the case of Sanchez v France. The case revolved around the conviction of the applicant, a politician, for inciting hatred or violence against people due to their religious affiliation. What makes this case unique among hate speech cases before the Strasbourg Court was that the applicant’s conviction did not stem from his own words but rather from his alleged failure to promptly remove (...) commends made by others under one of his (non-offensive) Facebook posts. This case has prompted a myriad of significant questions, the main one being, how an earth did we reach a point where imposing a criminal penalty on an internet user for someone else’s speech and how does such a penalty align with the principles of necessity and proportionality outlined in Article 10 of the European Convention on Human Rights (freedom of expression)? This paper aims to address this question by examining the Court’s approach to hate speech, particularly in the realm of politics, how to the Court situates politicians within the scope of Article 10 and how the gradual expansion of ‘duties and responsibilities’ incorporated in Article 10 to engulf those who are not the actual speakers (namely internet intermediaries and, with Sanchez individual politicians). It concludes that Sanchez constitutes a worrying term for the very worst of hate speech and free speech jurisprudence as individuals (at the moment just politicians) have a duty to be vigilant of what others say on the former’s social media pages. If they are not, criminal penalties are deemed to be justified and legitimate by Strasbourg. (shrink)

Argues that rebuilding ethical communities will require a cultural reorientation from visually dominated to oral/aural experience and develops a speech-based conception of moral place that can set limits on the actions of individuals and communities.

Much of what we say is never said aloud. It occurs only silently, as inner speech. We chastise, congratulate, joke and cajole, all without making a sound. This distinctively human ability to create public language in the privacy of our own minds is no less remarkable for its familiarity. And yet, until recently, inner speech remained at the periphery of philosophical and psychological theorizing. This essay collection, from an interdisciplinary group of leading philosophers, psychologists, and neuroscientists, displays (...) the rapidly growing interest among researchers in the puzzles surrounding the nature and cognitive role of the inner voice. Questions explored include: the aids and obstacles inner speech presents to self-knowledge; the complex relation it bears to overt speech production and perception; the means by which inner speech can be identified and empirically assessed; its role in generating auditory verbal hallucinations; and its relationship to conceptual thought itself. (shrink)

How music and speech evolved is a mystery. Several hypotheses on their origins, including one on their joint origins, have been put forward but rarely tested. Here we report and comment on the first experiment testing the hypothesis that speech and music bifurcated from a common system. We highlight strengths of the reported experiment, point out its relatedness to animal work, and suggest three alternative interpretations of its results. We conclude by sketching a future empirical programme extending this (...) work. (shrink)

Recent years have seen an upsurge of inflammatory speech around the world. Understanding the mechanisms that correlate speech with violence is a necessary step to explore the most effective forms of counterspeech. This paper starts with a review of the features of dangerous speech and ideology, as formulated by Jonathan Maynard and Susan Benesch. It then offers a conceptual framework to analyze some of the underlying linguistic mechanisms at play: derogatory language, code words, figleaves, and meaning perversions. (...) It gives a hypothesis for assessing the moral responsibility of interlocutors in dangerous speech situations. The last section applies this framework to a case of demagogic discourse. The framework offered explains how public discourse has harmed social relations and institutions, and is an obstacle to rational resolutions to the political situation. (shrink)

For many women and girls sexist and misogynistic language is an everyday experience. Some instances of this speech can be categorized as ‘sexist hate speech’, as not only having an insulting or degrading character towards the individuals to whom the speech is addressed, but also resonating with the entire group, contributing to its silencing, marginalization and exclusion. The aim of this article is to examine how sexist hate speech is handled in international human rights law. (...) The argument derives from the claim than that legal discourse should distinguish between ‘sexist speech’ and ‘sexist hate speech’, and that the later may be qualified as a form of violence against women. Then it analyses the approaches of two human rights protection systems—the United Nations and the Council of Europe system—towards the phenomenon of sexist hate speech, by taking their position towards hate speech in general as a point of reference. In both systems, sexist hate speech is being addressed more eagerly under the gender equality framework, including counteracting violence against women, than in their interpretation of hate speech under general human rights law. The article argues the importance of recognizing and addressing sexist hate speech both within the framework of gender equality instruments and anti-hate speech framework established by international human rights bodies. (shrink)

The Exchange of Words is a philosophical exploration of human testimony, specifically as a form of intersubjective understanding in which speakers communicate by making themselves accountable for the truth of what they say. This account weaves together themes from philosophy of language, moral psychology, action theory, and epistemology, for a new approach to this basic human phenomenon.

Name der Zeitschrift: Semiotica Jahrgang: 2015 Heft: 204 Seiten: 173-237.

This commentary presents indirect support for Corballis's claim that language evolved out of a gestural system in our evolutionary past. Specifically, it presents behavioral and neurological evidence that present-day speech and gesture continue to be tightly integrated in language production and comprehension.

A textbook for third year undergraduates and postgraduates. In a challenging philosophic investigation of the origin of consciousness and human culture, Dewart (religion, emeritus, U. of Toronto) proposes a theory to explain the origin of all specifically human traits. Complementing the theory of evolution through natural selection, it explains the emergence and those the continuing evolution of characterstics through the interaction of experience and speech. Annotation copyrighted by Book News, Inc., Portland, OR.

This book addresses the question: "What should be the appropriate limits to free speech?" The author claims that it is the state, rather than abstract principles, that must provide the answer. The book defends a version of Hobbesian absolutism and rejects the dominant liberal idea that there is a right (human or civil) setting the boundaries of free speech. This liberal view can be known as the "principled defence of free speech", in which speech is (...) established as a constitutional principle that has priority over the state. The author instead offers an "unprincipled approach to free speech", suggesting that the boundaries of speech must necessarily be set by the state, which in liberal democracies means through social and political contestation. The final chapter applies the argument to the topic of hate speech and argues that it is appropriate to limit such speech when it causes harm and offense. The book will be of use to students and scholars across political theory, political science, sociology, philosophy and law. (shrink)

Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) share a common interest in how information processing systems (human or machine) recognize spoken language, there is little communication between the two disciplines. We suggest that this lack of communication follows largely from the fact that research in these related fields has focused on the mechanics of how speech can be recognized. In Marr's (1982) terms, emphasis has been on the algorithmic and implementational (...) levels rather than on the computational level. In this article, we provide a computational-level analysis of the task of speech recognition, which reveals the close parallels between research concerned with HSR and ASR. We illustrate this relation by presenting a new computational model of human spoken-word recognition, built using techniques from the field of ASR that, in contrast to current existing models of HSR, recognizes words from real speech input. (shrink)

Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) share a common interest in how information processing systems (human or machine) recognize spoken language, there is little communication between the two disciplines. We suggest that this lack of communication follows largely from the fact that research in these related fields has focused on the mechanics of how speech can be recognized. In Marr's (1982) terms, emphasis has been on the algorithmic and implementational (...) levels rather than on the computational level. In this article, we provide a computational-level analysis of the task of speech recognition, which reveals the close parallels between research concerned with HSR and ASR. We illustrate this relation by presenting a new computational model of human spoken-word recognition, built using techniques from the field of ASR that, in contrast to current existing models of HSR, recognizes words from real speech input. (shrink)