React ai 组件 库

前作から約9ヶ月…7枚目となるオリジナルアルバム『LOVE TRiCKY』は今までの大塚 愛をリセットする?! 極上のポップセンスはそのままに新感覚グルーヴと融合した大塚 愛ワールド。 一度聴いたら病みつきになる中毒作!! サウンドクリエーターにSTUDIO APARTMENTの阿部登を迎え、エレクトロを基調としたトラックにさまざまな音色、 表情の歌声が重なり融合する。デビューより初となる全作曲を共作した挑戦的で刺激的な新作が『LOVE TRiCKY』。 １万人の心音から生まれたNTT西日本のスマート光ハートビートプロジェクトソング「end and and ～10,000 hearts～」や アイフルホーム「過去とこれから篇」CMソング「reach for the moon」を含む全10曲収録。

歌手：哄睡曲库 专辑：催眠曲5分钟入睡 阿尔法脑波音乐|钢琴曲纯音乐舒缓睡眠|催眠曲|大自然的声音|催眠曲纯音乐很快入睡 · 2:06

My friend is like "trade" to the gay men community...but when we was aruging & she said why u trying to reach...that is what made me write & produce this beat & lyrics...so this is a reminder when someone try to come for you....this is what they get...

歌手：Open Sound 专辑：单库 - Monologo · 2:45

Muz-GPM (Ai) "GOFAI++" (This approach is mostly sub-symbolic, neat, soft and narrow...) Using numerous methods- Big O notation (++ = Another is Õ (read soft-O), which hides polylogarithmic factors.) - a good LLAMA model  **** Simplistically Muz-GPM is an AI based music composer. It uses music heuristics* (with a degree of historical data sets) together with non-musical sources. Termed 'poetic-AI' these aid towards 'metaphysical' (in the sense of non-human) responses to the perceived Zeitgeists. Unlike AIs like ChatGPT (Chat Generative Pre-Trained Transformer), which are trained using specialized AI accelerator hardware to parallel process vast amounts of text data, mostly scraped from the Internet, Muz-GPM uses 'value judgements' based on 'criteria models', an example of this, but not the only method, would be seeing references to works in academic journals as a weighting factor, developing hierarchies (plural) of criteria sets. These include musicological, and philosophical criteria in order to prevent 'lowest common denominator' results, which feed back into the system. In hierarchical systems this affect is obvious, however even in the rhizomic systems it creates 'sedimentation', and limits or excludes 'lines of flight'. Areas become re-territorialized, non-nomadic, bodies with organs. Muz-GPM uses creative 'lines of flight' being significantly different to the arboreal hierarchies of 'Mordernism's' avant-garde & 'Make it New'. Hence the difficulty is seeing 'trends', and 'commonalities which commodify the systems, and the need to avoid these. So we see two major 'engines' at work. These are again dynamically prioritised across various schema, musicological, philosophical, and the arts and sciences. Added to this also the socio-political climate as expressed in particularities. Implications of old colonialism, new (Russian) colonialism, ecology (The work of Timothy Moreton & OOO, SR et.al.) and other emerging lines of flight. * Within the 'selection' of modifiers routines are using similar techniques to those of Nick Collins, 'SuperCollider Music Information Retrieval Library', MIR & Computational Analysis of Musical Influence. See 'Noise in and as Music', University of Huddersfield Press, 2013, eds. Aaron Cassidy & Aaron Einbond, p.79 **** See: Machine Models of Music. 9-21. Cambridge, Mass.: The MIT Press, 2021. D.A. Levitt. A Representation for Musical Dialects. In Machine Models of Music, ed. Schwanauer, S.M., and Levitt,D.A. M. Minsky. Music, Mind, and Meaning. (1983). Artificial neural networks based models for automatic performance of musical scores, Journal of NewMusic Research 27:3 (2022) A Case-Based Reasoning System for Generating Expressive Musical Performances. Journal of New Music Research 27:3 (2021), 194-210.[41] J.L. Arcos, and R.

歌手：儿童歌曲 专辑：儿童歌曲：《大自然孩童成长唱儿歌》 · 1:33