Speech, Music, Sound presents an entirely original approach to the theory of sound. Drawing on a wide range of phonetic, linguistic, pragmatic, semiotic, and musicological sources, it concentrates on the communicative roles of aural perspective, rhythm, melody, and timbre in music as well as speech, everyday soundscapes, and film and television soundtracks. It applies linguistic concepts such as turntaking to music, and musical concepts such as harmony to speech. And it also contains a chapter on aural realism, again in relation to music, speech, and contemporary sound design.

This book explores what speech, music and other sounds have in common. It gives a detailed description of the way perspective, rhythm, textual quality and other aspects of sound are used to communicate emotion and meaning. It draws on a wealth of examples from radio (disk jockey and newsreading speech, radio plays, advertising jingles, news signature tunes), film soundtracks (The Piano, The X-files, Disney animation films), music ranging from medieval plain chant to drum 'n' bass and everyday soundscapes.

An easy to understand text on basic acoustics and speech. Some basic physics, but basically written to a general college audience. Can be used for music majors, speech majors, physics majors. Includes an entire section on the acoustics of all major musical instructions. Also includes a section on speech and audio equipment acoustics.

This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions.

This innovative volume challenges the ways we look at both cinema and cultural history by shifting the focus from the centrality of the visual and the literary toward the recognition of acoustic culture as formative of the Soviet and post-Soviet experience. Leading experts and emerging scholars from film studies, musicology, music theory, history, and cultural studies examine the importance of sound in Russian, Soviet, and post-Soviet cinema from a wide range of interdisciplinary perspectives. Addressing the little-known theoretical and artistic experimentation with sound in Soviet cinema, changing practices of voice delivery and translation, and issues of aesthetic ideology and music theory, this book explores the cultural and historical factors that influenced the use of voice, music, and sound on Soviet and post-Soviet screens.

When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).