3 research outputs found

    Speech Recognition

    Get PDF
    Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes

    La transformation digitale : Une approche innovante pour l’optimisation de la chaîne logistique

    Get PDF
    This paper aims to bridge the information gap between practitioners and academics on Digital Transformation as a managerial innovation for supply chain optimisation, to contribute to both practice and theory. Seeking to understand how these developments will help address key supply chain challenges and opportunities. In this context, it is impossible to deny that digital technologies have fundamentally changed consumer behaviour, business activities and the relationships between all actors in the economy. A digital supply chain is an intelligent, efficient and value-driven process that enables new forms of revenue and business value to be generated for organisations and leverages new approaches through innovative technological and analytical methods. The digital supply chain is not about whether goods and services are digital or physical, but rather about managing supply chain processes using a wide variety of innovative technologies. Finally, digital technologies, systems, platforms and algorithms affect the way we collaborate, exchange, integrate, manage and control across the supply chain. To study the concept of digital transformation, a systematic literature review method was adopted.   Keywords : Digital Transformation, innovation, digitalisation, managerial innovation, supply chain. JEL Classification Codes : O3 ; O32 ; M19 ; O14 Paper Type : Theoretical Research  Le prĂ©sent article vise Ă  combler le manque d'informations entre les praticiens et les universitaires sur la Transformation digitale comme innovation managĂ©riale pour l’optimisation des chaĂ®nes logistiques, Ă  contribuer Ă  la fois Ă  la pratique et Ă  la thĂ©orie. En cherchant Ă  comprendre comment ces dĂ©veloppements aideront Ă  relever les principaux dĂ©fis et opportunitĂ©s de la chaĂ®ne logistique. Dans ce cadre, il est impossible de nier que les technologies digitales ont fondamentalement changĂ© le comportement des consommateurs, les activitĂ©s des entreprises et les relations entre tous les acteurs de l'Ă©conomie. Une chaĂ®ne logistique digitale est un processus intelligent, efficace et axĂ© sur la valeur, qui permet de gĂ©nĂ©rer de nouvelles formes de revenus et de valeur commerciale pour les organisations et de tirer parti de nouvelles approches grâce Ă  des mĂ©thodes technologiques et analytiques novatrices. La chaĂ®ne logistique digitale ne consiste pas Ă  dĂ©terminer si les biens et les services sont digitaux ou physiques, mais plutĂ´t Ă  gĂ©rer les processus de la chaĂ®ne logistique Ă  l'aide d'une grande variĂ©tĂ© de technologies innovantes. Enfin, les technologies, systèmes, plateformes et algorithmes digitaux affectent la manière dont nous collaborons, Ă©changeons, intĂ©grons, gĂ©rons et contrĂ´lons Ă  travers la chaĂ®ne logistique. Pour Ă©tudier le concept de transformation digitale, une mĂ©thode de revue littĂ©rature systĂ©matique a Ă©tĂ© adoptĂ©e.   Mots clĂ©s : Transformation digitale, Innovation, digitalisation, innovation managĂ©riale, chaĂ®ne logistique JEL Classification Codes : O3 ; O32 ; M19 ; O14 Type de papier : Recherche thĂ©oriqu
    corecore