Hindustani classical music (also known as North Indian classical music or Shastriya Sangeet) is the classical music of the Indian subcontinent's northern regions. It is played on instruments like the veena, sitar and sarod. It diverged in the 12th-century from Carnatic music, the classical tradition of southern India. While Carnatic music largely uses compositions written in Sanskrit, Tamil, Telugu, Kannada, and Malayalam, Hindustani music largely uses compositions written in Sanskrit, Hindustani (Hindi-Urdu), Braj, Awadhi, Bhojpuri, Bengali, Rajasthani languages, Punjabi and even Persian.
Carnatic music
Carnatic music is a system of music commonly associated with South India, including the modern Indian states of Andhra Pradesh, Karnataka, Kerala, Tamil Nadu and Telangana. Most Carnatic compositions are only in Telugu and Sanskrit.
What is Svatantrya Sakti? | Āchārya Dr. Sthaneshwar Timalsina
Śākta Tantra and Mantravāda in Kerala | Dr. Maciej Karasinski
Music Chat: Classical Music's Ten Dirtiest Secrets
Kafi (thaat)
Kafi is one of the ten basic thaats of Hindustani music from the Indian subcontinent. It is also the name of a raga (Kharaharapriya) within this thaat.
Bhimpalasi
Bhimpalasi or Bheempalasi (also known as Bhimpalas or Bheempalas) is a Hindustani classical raga. The Carnatic Music equivalent of this raga is Abheri.
Types of Being: A Śaiva Pluralist Ontology as Contemporary Resource | Dr. Gavin Flood
🔎 shamika ravi muslim hindu - Google Search
Proper Patola Full Video - Namaste England | Arjun Kapoor, Parineeti | Badshah, Diljit, Aastha
Western Ghats
The Western Ghats, also known as the Sahyadri, is a mountain range that stretches 1,600 km (1,000 mi) along the west coast of India. Covering an area of 160,000 km2 (62,000 mi2), it traverses the Indian states of Gujarat, Maharashtra, Goa, Karnataka, Kerala, and Tamil Nadu. The range forms an almost continuous chain of mountains along the western edge of the Deccan Plateau, from the Tapti River to Swamithoppe in Kanyakumari district at the southern tip of the Indian peninsula. The Western Ghats meet with the Eastern Ghats at Nilgiris before continuing south.
Indian Culture | Ministry of Culture
About Indian CultureIndian culture, often labelled as a combination of several cultures, has been influenced by a history that is several millennia old, beginning with the Indus Valley civilization and other early cultural areas. Indian culture is one of the oldest and most unique cultures known across the globe. It has Indian culture is one of the oldest and most unique cultures known across the globe.
Abheri
Abheri is a raga in Carnatic music. It is a Janya raga, whose Melakarta raga is Kharaharapriya, 22nd in the 72 Melakarta raga system.
(S+) Meinung: Ausländerfeindliche KI-Musik: Rechtsradikale Phrasen, verpackt in geschmackvolle Indie-Tunes
In den Niederlanden drängen rechte KI-Songs auf virale Spotify-Playlists. Doch hinter dem Fall steckt ein viel größeres Problem.
EK THA RAJA (INTRO) LYRICS – Badshah | Shah Rukh Khan
Ek Tha Raja (एक था राजा) Intro Lyrics by Badshah is popular hit Hindi Title Track (Introduction) of the album Ek Tha Raja in voice of Shah Rukh Khan and music of this trending song is given by Badshah. Ek Tha Raja Intro song word
From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music
Recent text-to-music (TTM) systems such as Suno [22], Udio [23], and Google’s MusicFX [7] allow users to generate music from a natural language prompt, lowering the barrier to music creation for users without specialized musical knowledge [27]. Understanding how users write these prompts is therefore a fundamental question for music information retrieval and human-AI interaction research. Yet, prompting a generative system is not the same cognitive or linguistic act as describing music one has heard [12]. When a user writes a prompt, they encode anticipatory intent to steer the system toward a desired or imagined output, whereas when a listener describes a piece of music, their language is grounded in a perceptual experience. We argue that these two acts produce systematically different language—a distinction that, despite being intuitive, has not been quantitatively examined. This gap has practical consequences: recent TTM models are trained predominantly on metadata-centric corpora (genre labels, BPM, descriptive tags) [6] rather than on the kind of language users naturally produce when listening, leaving the prompt-description gap unexamined. Moreover, this gap limits our ability to evaluate and improve human–AI interaction in music generation, as current systems are optimized for prompt input but commonly assessed through human perception.