Tanveer Ahmad Wani
Biographic Data
| ID | 8969092 |
|---|---|
| NAME | Tanveer Ahmad Wani |
| GIVEN NAMES | Tanveer Ahmad |
| FAMILY NAME | Wani |
| SIGNATURE | WANI T A |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ai-Powered Music Therapy for Education
The artificial intelligence (AI) has offered new possibilities to improve the sphere of music therapy as the means of adaptive support within the educational settings. The traditional music therapy methods are useful but very stagnant and cannot be scaled and personalized. This paper suggests an adaptive music therapy program that will be driven by AI and will help individuals regulate their emotions, maintain engagement, and be ready to learn in…
Ai-Generated Compositions in Music Education
With the introduction of the creative process into the sphere of music learning, the introduction of the Artificial Intelligence (AI) has changed the way of composing, analyzing, and learning. The compositions created by AI give educators and learners new tools that could be applied to generate creativity and composing, and their interpretation of the musical form. The paper explains how AI has been used more and more as a potent application in t…
Digital Aesthetics in the Age of Machine Learning
The speed with which machine learning is becoming deeply embedded in creative production, curation, and interpretation has radically altered digital aesthetics. The classical aesthetic theory has difficulty explaining algorithmic authorship, forming data driven styles, and hybrid human-AI creativity, which present conceptual and methodological gaps in the research of contemporary art. The paper explores the role of machine learning models in chan…
Emotion Recognition in Ai-Generated Music
The paper under investigation explores the problem of emotion recognition in AI-generated music by applying the concepts of cognitive psychology, affective neuroscience, and computational creativity. It presents a valence-arousal modeling, deep neural architecture and listener-based feedback loop approach to the emotional interpretation, generation, and critical analysis of emotional signals in music through the use of AI. The system uses hybrid …
Gan-Based Reconstruction of Vintage Prints
Vintage prints are crucial to preserve the cultural, historical, and artistic heritage and although traditional techniques of restoration are important challenges, physical deterioration, including fading, stains, ripping, and noise are major obstacles to preserve printed images. Manual conservation and classical methods of digital inpainting can be time-consuming, subjective and unable to match the level of fine textuality and stylistic fidelity…
Exploring Gans in Digital Media Education
The Generative Adversarial Networks (GANs) introduced to the education of digital media can be regarded as a significant change in the point of intersection of creativity, computation, and ethics in educational context. The creative tools and the educational model of both the use of GANs will be discussed in the paper in terms of pedagogical and cognitive implications. The research employed a mixed-methodology in three institutions, such as desig…
Management Strategies for Ai-Based Music Startups
The music industry, has been transformed by the introduction of new startups due to the advent of the Artificial Intelligence (AI) where machine learning, deep learning, and natural language processing are used to redefine the music creation, production, and distribution. The paper will discuss the management practices which may be utilized in the success of AI-based music startups such as the organizational models, innovation models and the mech…
No prominent works on this page.
Ai-Generated Compositions in Music Education
With the introduction of the creative process into the sphere of music learning, the introduction of the Artificial Intelligence (AI) has changed the way of composing, analyzing, and learning. The compositions created by AI give educators and learners new tools that could be applied to generate creativity and composing, and their interpretation of the musical form. The paper explains how AI has been used more and more as a potent application in t…
Digital Aesthetics in the Age of Machine Learning
The speed with which machine learning is becoming deeply embedded in creative production, curation, and interpretation has radically altered digital aesthetics. The classical aesthetic theory has difficulty explaining algorithmic authorship, forming data driven styles, and hybrid human-AI creativity, which present conceptual and methodological gaps in the research of contemporary art. The paper explores the role of machine learning models in chan…
Emotion Recognition in Ai-Generated Music
The paper under investigation explores the problem of emotion recognition in AI-generated music by applying the concepts of cognitive psychology, affective neuroscience, and computational creativity. It presents a valence-arousal modeling, deep neural architecture and listener-based feedback loop approach to the emotional interpretation, generation, and critical analysis of emotional signals in music through the use of AI. The system uses hybrid …
Gan-Based Reconstruction of Vintage Prints
Vintage prints are crucial to preserve the cultural, historical, and artistic heritage and although traditional techniques of restoration are important challenges, physical deterioration, including fading, stains, ripping, and noise are major obstacles to preserve printed images. Manual conservation and classical methods of digital inpainting can be time-consuming, subjective and unable to match the level of fine textuality and stylistic fidelity…
Exploring Gans in Digital Media Education
The Generative Adversarial Networks (GANs) introduced to the education of digital media can be regarded as a significant change in the point of intersection of creativity, computation, and ethics in educational context. The creative tools and the educational model of both the use of GANs will be discussed in the paper in terms of pedagogical and cognitive implications. The research employed a mixed-methodology in three institutions, such as desig…
Management Strategies for Ai-Based Music Startups
The music industry, has been transformed by the introduction of new startups due to the advent of the Artificial Intelligence (AI) where machine learning, deep learning, and natural language processing are used to redefine the music creation, production, and distribution. The paper will discuss the management practices which may be utilized in the success of AI-based music startups such as the organizational models, innovation models and the mech…
Ai-Powered Music Therapy for Education
The artificial intelligence (AI) has offered new possibilities to improve the sphere of music therapy as the means of adaptive support within the educational settings. The traditional music therapy methods are useful but very stagnant and cannot be scaled and personalized. This paper suggests an adaptive music therapy program that will be driven by AI and will help individuals regulate their emotions, maintain engagement, and be ready to learn in…
Creativity (3 works) · Music Technology and Sound Studies (3 works) · Neuroscience and Music Perception (3 works) · Aesthetic Perception and Analysis (2 works) · Cognition (2 works) · Emotion and Mood Recognition (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Music and Audio Processing (2 works) · Music psychology (2 works) · Perception (2 works)