Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866917557753085952 |
|---|---|
| author | Chollet, Gérard Sansen, Hugues Tevissen, Yannis Boudy, Jérôme Hariz, Mossaab Lohr, Christophe Yassa, Fathy |
| author_facet | Chollet, Gérard Sansen, Hugues Tevissen, Yannis Boudy, Jérôme Hariz, Mossaab Lohr, Christophe Yassa, Fathy |
| contents | In the age of personal voice assistants, the question of privacy arises. These digital companions often lack memory of past interactions, while relying heavily on the internet for speech processing, raising privacy concerns. Modern smartphones now enable on-device speech processing, making cloud-based solutions unnecessary. Personal assistants for the elderly should excel at memory recall, especially in medical examinations. The e-ViTA project developed a versatile conversational application with local processing and speaker recognition. This paper highlights the importance of speaker diarization enriched with sensor data fusion for contextualized conversation preservation. The use cases applied to the e-VITA project have shown that truly personalized dialogue is pivotal for individual voice assistants. Secure local processing and sensor data fusion ensure virtual companions meet individual user needs without compromising privacy or data security. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01146 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond Chollet, Gérard Sansen, Hugues Tevissen, Yannis Boudy, Jérôme Hariz, Mossaab Lohr, Christophe Yassa, Fathy Human-Computer Interaction In the age of personal voice assistants, the question of privacy arises. These digital companions often lack memory of past interactions, while relying heavily on the internet for speech processing, raising privacy concerns. Modern smartphones now enable on-device speech processing, making cloud-based solutions unnecessary. Personal assistants for the elderly should excel at memory recall, especially in medical examinations. The e-ViTA project developed a versatile conversational application with local processing and speaker recognition. This paper highlights the importance of speaker diarization enriched with sensor data fusion for contextualized conversation preservation. The use cases applied to the e-VITA project have shown that truly personalized dialogue is pivotal for individual voice assistants. Secure local processing and sensor data fusion ensure virtual companions meet individual user needs without compromising privacy or data security. |
| title | Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2401.01146 |