The Use of Bakhtin\u27s Polyphony to Analyze Peer Relationships

Abstract The purpose of this study was to examine how resident assistants integrate training on leadership and ethics with their personal beliefs in their roles as resident assistants (RAs). Data for this study was gathered using an electronic survey. Participants who have between one and four years of RA experience were to participate in this study. An announcement of the study with a link to the survey was sent to the resident director of all dorms on the UA campus with the request that the announcement be forwarded to the RAs. The survey included six questions that provided basic demographic information and training experience. Then the demographics was followed by four scenarios, each having four multiple choice options and two open ended questions about leadership and ethical action. It took approximately 10-20 minutes to complete the survey. Results were analyzed descriptively

Prosody, polyphony and politeness: A polyphonic approach to prosodic configurations common to French and Spanish

From a theoretical perspective based on the Theory of Argumentation in Language (Théorie de l’Argumentation dans la Langue – TAL) and the Theory of Polyphony (Théorie de la Polyphonie Énonciative – TPE), the present study describes and analyses polyphonic configurations that are disclosed through the use of certain voice traits; configurations which, unmistakably common to both French and Spanish, are manifested by what is said and what is prosodically shown in utterances. Within a French corpus and a Spanish corpus of naturally occurring discourse, the patent polyphonic dimension of intonation has been explored in order to demonstrate that locutors’ utterances themselves reveal the orientation of enunciation through both the marking of the lexical and grammatical components and the prosody within which they are embedded. Through this study, the authors show how the locutor – the discursive character presented by the utterance as responsible for its enunciation – puts on stage a multiplicity of enunciators, or viewpoints, which allow him or her to protect the image of self, i.e., the locutor’s own image, and expose, protect or enhance that of others. Polyphony is materialized in two different ways: one in which the enunciator embodied in the prosody reinforces the locutor’s assimilation to the wording of the utterance and another in which the enunciator corresponding to the intonational feature does not match what is expressed through words.Fil: Garcia Negroni, Maria Marta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Lingüística; ArgentinaFil: Caldiz, Adriana Mabel. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Departamento de Lenguas Modernas; Argentin

Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution

This paper proposes a system for multiple fundamental frequency estimation of piano sounds using pitch candidate selection rules which employ spectral structure and temporal evolution. As a time-frequency representation, the Resonator Time-Frequency Image of the input signal is employed, a noise suppression model is used, and a spectral whitening procedure is performed. In addition, a spectral flux-based onset detector is employed in order to select the steady-state region of the produced sound. In the multiple-F0 estimation stage, tuning and inharmonicity parameters are extracted and a pitch salience function is proposed. Pitch presence tests are performed utilizing information from the spectral structure of pitch candidates, aiming to suppress errors occurring at multiples and sub-multiples of the true pitches. A novel feature for the estimation of harmonically related pitches is proposed, based on the common amplitude modulation assumption. Experiments are performed on the MAPS database using 8784 piano samples of classical, jazz, and random chords with polyphony levels between 1 and 6. The proposed system is computationally inexpensive, being able to perform multiple-F0 estimation experiments in realtime. Experimental results indicate that the proposed system outperforms state-of-the-art approaches for the aforementioned task in a statistically significant manner. Index Terms: multiple-F0 estimation, resonator timefrequency image, common amplitude modulatio

Supporting Pluralism by Artificial Intelligence: Conceptualizing Epistemic Disagreements as Digital Artifacts

A crucial concept in philosophy and social sciences, epistemic disagreement, has not yet been adequately reflected in the Web. In this paper, we call for development of intelligent tools dealing with epistemic disagreements on the Web to support pluralism. As a first step, we present Polyphony, an ontology for representing and annotating epistemic disagreements

Acoustic event detection for multiple overlapping similar sources

Many current paradigms for acoustic event detection (AED) are not adapted to the organic variability of natural sounds, and/or they assume a limit on the number of simultaneous sources: often only one source, or one source of each type, may be active. These aspects are highly undesirable for applications such as bird population monitoring. We introduce a simple method modelling the onsets, durations and offsets of acoustic events to avoid intrinsic limits on polyphony or on inter-event temporal patterns. We evaluate the method in a case study with over 3000 zebra finch calls. In comparison against a HMM-based method we find it more accurate at recovering acoustic events, and more robust for estimating calling rates.Comment: Accepted for WASPAA 201

Reenactment: An embodied cognition approach to meaning and linguistic content

A central finding in experimental research identified with Embodied Cognition (EC) is that understanding actions involves their embodied simulation, i.e. executing some processes involved in performing these actions. Extending these findings, I argue that reenactment – the overt embodied simulation of actions and practices, including especially communicative actions and practices, within utterances – makes it possible to forge an integrated EC-based account of linguistic meaning. In particular, I argue: (a) that remote entities can be referred to by reenacting actions performed with them; (b) that the use of grammatical constructions can be conceived of as the reenactment of linguistic action routines; (c) that complex enunciational structures (reported speech, irony, etc.) involve a separate level of reenactment, on which characters are presented as interacting with one another within the utterance; (d) that the segmentation of long utterances into shorter units involves the reenactment of brief audience interventions between units; and (e) that the overall meaning of an utterance can be stated in reenactment terms. The notion of reenactment provides a conceptual framework for accounting for aspects of language that are usually thought to be outside the reach of EC in an EC framework, thus supporting a view of meaning and linguistic content as thoroughly grounded in action and interaction

Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription

In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression technique based on pink noise assumption is applied in a preprocessing step. In the multiple-F0 estimation stage, the optimal tuning and inharmonicity parameters are computed and a salience function is proposed in order to select pitch candidates. For each pitch candidate combination, an overlapping partial treatment procedure is used, which is based on a novel spectral envelope estimation procedure for the log-frequency domain, in order to compute the harmonic envelope of candidate pitches. In order to select the optimal pitch combination for each time frame, a score function is proposed which combines spectral and temporal characteristics of the candidate pitches and also aims to suppress harmonic errors. For postprocessing, hidden Markov models (HMMs) and conditional random fields (CRFs) trained on MIDI data are employed, in order to boost transcription accuracy. The system was trained on isolated piano sounds from the MAPS database and was tested on classic and jazz recordings from the RWC database, as well as on recordings from a Disklavier piano. A comparison with several state-of-the-art systems is provided using a variety of error metrics, where encouraging results are indicated

Multi-label Ferns for Efficient Recognition of Musical Instruments in Recordings

In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings as input data. Our main result is obtaining much faster classification and higher F-score. We also achieve substantial reduction of the model size