The Voice In The Machine

An examination of more than sixty years of successes and failures in developing technologies that allow computers to understand human spoken language. Stanley Kubrick's 1968 film 2001: A Space Odyssey famously featured HAL, a computer with the ability to hold lengthy conversations with his fellow space travelers. More than forty years later, we have advanced computer technology that Kubrick never imagined, but we do not have computers that talk and understand speech as HAL did. Is it a failure of our technology that we have not gotten much further than an automated voice that tells us to “say or press 1”? Or is there something fundamental in human language and speech that we do not yet understand deeply enough to be able to replicate in a computer? In The Voice in the Machine, Roberto Pieraccini examines six decades of work in science and technology to develop computers that can interact with humans using speech and the industry that has arisen around the quest for these technologies. He shows that although the computers today that understand speech may not have HAL's capacity for conversation, they have capabilities that make them usable in many applications today and are on a fast track of improvement and innovation. Pieraccini describes the evolution of speech recognition and speech understanding processes from waveform methods to artificial intelligence approaches to statistical learning and modeling of human speech based on a rigorous mathematical model—specifically, Hidden Markov Models (HMM). He details the development of dialog systems, the ability to produce speech, and the process of bringing talking machines to the market. Finally, he asks a question that only the future can answer: will we end up with HAL-like computers or something completely unexpected?

An examination of more than sixty years of successes and failures in developing technologies that allow computers to understand human spoken language. Stanley Kubrick's 1968 film 2001: A Space Odyssey famously featured HAL, a computer with the ability to hold lengthy conversations with his fellow space travelers. More than forty years later, we have advanced computer technology that Kubrick never imagined, but we do not have computers that talk and understand speech as HAL did. Is it a failure of our technology that we have not gotten much further than an automated voice that tells us to "say or press 1"? Or is there something fundamental in human language and speech that we do not yet understand deeply enough to be able to replicate in a computer? In The Voice in the Machine, Roberto Pieraccini examines six decades of work in science and technology to develop computers that can interact with humans using speech and the industry that has arisen around the quest for these technologies. He shows that although the computers today that understand speech may not have HAL's capacity for conversation, they have capabilities that make them usable in many applications today and are on a fast track of improvement and innovation. Pieraccini describes the evolution of speech recognition and speech understanding processes from waveform methods to artificial intelligence approaches to statistical learning and modeling of human speech based on a rigorous mathematical model--specifically, Hidden Markov Models (HMM). He details the development of dialog systems, the ability to produce speech, and the process of bringing talking machines to the market. Finally, he asks a question that only the future can answer: will we end up with HAL-like computers or something completely unexpected?

Both in opera studies and in most operatic works, the singing body is often taken for granted. In Postopera: Reinventing the Voice-Body, Jelena Novak reintroduces an awareness of the physicality of the singing body to opera studies. Arguing that the voice-body relationship itself is a producer of meaning, she furthermore posits this relationship as one of the major driving forces in recent opera. She takes as her focus six contemporary operas - La Belle et la Bête (Philip Glass), Writing to Vermeer (Louis Andriessen, Peter Greenaway), Three Tales (Steve Reich, Beryl Korot), One (Michel van der Aa), Homeland (Laurie Anderson), and La Commedia (Louis Andriessen, Hal Hartley) - which she terms 'postoperas'. These pieces are sites for creative exploration, where the boundaries of the opera world are stretched. Central to this is the impact of new media, a de-synchronization between image and sound, or a redefinition of body-voice-gender relationships. Novak dissects the singing body as a set of rules, protocols, effects, and strategies. That dissection shows how the singing body acts within the world of opera, what interventions it makes, and how it constitutes opera’s meanings.

The voice traverses Beckett’s work in its entirety, defining its space and its structure. Emanating from an indeterminate source situated outside the narrators and characters, while permeating the very words they utter, it proves to be incessant. It can alternatively be violently intrusive, or embody a calming presence. Literary creation will be charged with transforming the mortification it inflicts into a vivifying relationship to language. In the exploration undertaken here, Lacanian psychoanalysis offers the means to approach the voice’s multiple and fundamentally paradoxical facets with regards to language that founds the subject’s vital relation to existence. Far from seeking to impose a rigid and purely abstract framework, this study aims to highlight the singularity and complexity of Beckett’s work, and to outline a potentially vast field of investigation.

"Since its inception, Artificial Intelligence (AI) has been nurtured by the dream - cherished by some scientists while dismissed as unrealistic by others - that it will lead to forms of intelligence similar or alternative to human life. However, AI might be more accurately described as a range of technologies providing a convincing illusion of intelligence - in other words, not much the creation of intelligent beings, but rather of technologies that are perceived by humans as such. Deceitful Media argues that AI resides also and especially in the perception of human users. Exploring the history of AI from its origins in the Turing Test to contemporary AI voice assistants such as Alexa and Siri, Simone Natale demonstrates that our tendency to project humanity into things shapes the very functioning and implications of AI. He argues for a recalibration of the relationship between deception and AI that helps recognize and critically question how computing technologies mobilize specific aspects of users' perception and psychology in order to create what we call "AI." Introducing the concept of "banal deception," which describes deceptive mechanisms and practices that are embedded in AI, the book shows that deception is as central to AI's functioning as the circuits, software, and data that make it run. Delving into the relationship between AI and deception, Deceitful Media thus reformulates the debate on AI on the basis of a new assumption: that what machines are changing is primarily us, humans. If 'intelligent' machines might one day revolutionize life, the book provocatively suggests, they are already transforming how we understand and carry out social interactions"--

When Machines Play Chopin brings together music aesthetics, performance practices, and the history of automated musical instruments in nineteenth-century German literature. Philosophers defined music as a direct expression of human emotion while soloists competed with one another to display machine-like technical perfection at their instruments. When Machines Play Chopin looks at this paradox between thinking about and practicing music to show what three literary works say about automation and the sublime in art.