Textual 7.2.3

Rundfunkchor Leipzig, Staatskapelle Dresden, Herbert Blomstedt - Beethoven: Leonore, Op.72 (1977) 2 CDs, Reissue 2014

Ludwig van Beethoven - Leonore, Op.72 (1977) 2 CDs, Reissue 2014
Rundfunkchor Leipzig; Staatskapelle Dresden; Herbert Blomstedt, conductor
Edda Moser, Richard Cassilly, Theo Adam, Helen Donath, Eberhard Büchner

EAC | FLAC | Image (Cue&Log) ~ 704 Mb | Scans included | Time: 02:35:40
Genre: Classical, Opera | Label: Brilliant Classics | # 94868

Reissue of this near legendary recording of Beethoven’s Leonore (the first version of what later became Fidelio). This recording from 1977 was the first recording of this opera, and since then remains a benchmark. Featuring the best singers of the time: Eberhard Büchner, Edda Moser, Edith Mathis, Theo Adam, Karl Ridderbusch, and the Staatskapelle Dresden conducted by Herbert Blomstedt.
Maya Boog, Lothar Odinius, Ulrich Eisenlohr - Franz Schubert: Schiller-Lieder, Vol. 3 & 4 (2005)

Maya Boog, Lothar Odinius, Ulrich Eisenlohr - Franz Schubert: Schiller-Lieder, Vol. 3 & 4 (2005)
EAC | FLAC | Image (Cue & Log) ~ 434 Mb | Total time: 98:30 | Scans included
Classical | Label: Naxos | # 8.557369-70 | Recorded: 2003-2004

Schubert set the poetry of over 115 writers to music. He selected poems from classical Greece, the Middle Ages and the Renaissance, from eighteenth-century German authors, early Romantics, Biedermeier poets, and Heine. The Deutsche Schubert-Lied-Edition presents all Schubert’s Lieder, over 700 songs, grouped according to the poets who inspired him. Thanks to the Bärenreiter’s Neue Schubert-Ausgabe (New Schubert Edition), Tübingen, which uses primary sources, the performers have been able to benefit from the most recent research of the editorial team.
Franco Fagioli, Malin Hartelius, Emmanuelle de Negri - Christoph Willibald Gluck: Orfeo ed Euridice (2015) 3 CDs [Re-Up]

Christoph Willibald Gluck - Orfeo ed Euridice (2015) 3 CDs
Franco Fagioli (Orfeo), Malin Hartelius (Euridice), Emmanuelle de Negri (Amor)
Accentus; Insula Orchestra; conducted by Laurence Equilbey

EAC | FLAC | Image (Cue&Log) ~ 723 Mb | Mp3 (CBR320) ~ 352 Mb | Scans included
Classical, Opera | Label: Archiv Produktion (DG) | # 00289 479 5315 9 | Time: 02:31:52

This is a full recording of the original Italian version (the “Vienna version” from 1762) of Gluck’s beloved take on the Orpheus myth, Orfeo et Euridice PLUS extra music written by Gluck for later performances of his opera. It includes virtuoso arias for Fagioli and as such represents a brilliant showcase for him and a collectible item for connoisseurs. This is Franco Fagioli’s first ever recording of a complete opera in which he sings the title role and since, the role has become one of Franco’s calling cards in recent seasons. It is known for its absolutely gorgeous music, including one of opera’s most audience-pleasing tunes, the uber-famous aria “Che farò senza Euridice”. This version of the opera (by far the most popular one) appears for the first time ever on period instruments on DG / Archiv, hence filling a major gap in our catalogue and is a substantial project featuring one of our exciting new signings in one of his finest roles.
Max Barros, Thomas Conlin, Warsaw Philharmonic Orchestra - Camargo Guarnieri: Piano Concertos Nos. 1, 2 & 3 (2005)

Max Barros, Thomas Conlin, Warsaw Philharmonic Orchestra - Camargo Guarnieri: Piano Concertos Nos. 1, 2 & 3 (2005)
EAC | FLAC | Image (Cue & no Log) ~ 312 Mb | Total time: 69:49 | Scans included
Classical | Label: Naxos | # 8.557666 | Recorded: 2003, 2004

This is a most encouraging issue. In the wake of BIS’s continuing series of Mozart Camargo Guarnieri’s symphonies, Naxos – knowing a good thing when they hear it – have collected his three piano concertos onto a single disc, the First being a premiere recording with neither of the others otherwise available. Indeed, there is little enough of Guarnieri’s bright and attractive music in the catalogue at all. Recording the appealing First Concerto highlighted some major textual issues with the score, as James Melo succinctly summarizes in the booklet.
David Zinman, Tonhalle Orchestra Zurich - Ludwig van Beethoven: Symphonies Nos. 1 & 2 (1999)

David Zinman, Tonhalle Orchestra Zurich - Ludwig van Beethoven: Symphonies Nos. 1 & 2 (1999)
EAC | FLAC | Image (Cue & Log) ~ 210 Mb | Total time: 64:05 | Scans included
Classical | Label: Arte Nova Classics | # 74321 63645 2 | Recorded: 1998

David Zinman and his Zurich Tonhalle Orchestra have all but completed what is without question one of the most invigorating Beethoven cycles to appear in the last few years. True to form, Zinman takes the latest Beethoven scholarship on board, which in this case includes some novel emendations to the opening of the Second Symphony.
Christoph Graupner - Das Leiden Jesu, Passion Cantatas IV - Florian Heyerick (2020) {cpo 555 348-2}

Christoph Graupner - Das Leiden Jesu, Passion Cantatas IV - Florian Heyerick (2020) {cpo 555 348-2}
XLD rip (secure mode) | FLAC (tracks)+CUE+LOG -> 255 Mb | MP3 @320 -> 138 Mb
Full Artwork @ 300 dpi (jpg) -> 15 Mb | 5% repair rar
© 2020 Classic Produktion Osnabrück | cpo 555 348-2
Classical / Baroque / Sacred / Period Instruments

The present recording of Christoph Graupner’s Passion Cycle of 1741 concludes on Vol. 4 with the highly expressive cantata for Laetare Sunday GWV 1123-41. Laetare Sunday (‘Joy’ or ‘Refreshment’ Sunday), the fourth Lenten Sunday, actually assumes a certain special positive status with its central focus on God’s action, which alone can rid human beings of their failings. However, Johann Conrad Lichtenberg, the author of the text, had a different view: here the dominant theme is the inequity of the rulers and judges who pronounce on Jesus while he bears everything with patience.

VovSoft AI Requester 2.2  Software

Posted by melt_ at April 17, 2024
VovSoft AI Requester 2.2

VovSoft AI Requester 2.2 | 3.1 Mb

Vovsoft AI Requester is a program that can connect to OpenAI API with ease. The software provides a reliable and easy-to-use interface that seamlessly integrates with the latest AI technologies, including GPT-3.5, GPT-4 and DALL-E.

Matlab Master Class: Go From Beginner To Expert In Matlab  eBooks & eLearning

Posted by ELK1nG at July 1, 2022
Matlab Master Class: Go From Beginner To Expert In Matlab

Matlab Master Class: Go From Beginner To Expert In Matlab
Last updated 5/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.06 GB | Duration: 50h 30m

MATLAB programming, data structures, apps, data science, regular expressions, text processing, task automation
Roger Norrington, The English Chamber Orchestra, Janet Baker - George Frideric Handel: Radamisto (2007)

Roger Norrington, The English Chamber Orchestra, Janet Baker - George Frideric Handel: Radamisto (2007)
EAC | FLAC | Image (Cue & Log) ~ 994 Mb | Total time: 75:54+79:03+79:44 | Scans included
Classical | Label: Ponte | # PO-1054 | Recorded: 1984

The performance of Radamisto is notable for an array of vocal talent headed by Janet Baker. Every name is familiar and admired. The ECO was a vibrant presence in the Handel operatic and oratorio market at this time and Norrington at the helm ensures that period practices are helpfully integrated into the fabric of a modern instrument performance – recitatives for instance, once the bane of some 1960s and 70s performances, move fluidly and intelligently, highly responsive to textual meaning and dramatic implications. Note Act I’s Reina, infausto avviso when Tigrane and Polissena’s recitative embodies fine pacing, telling rubato, and appropriately coloured accompaniment. Some cuts though were clearly necessary to accommodate the length of the production.

Data Science Bundle: 180 Hands-On Projects - Course 1 Of 3  eBooks & eLearning

Posted by ELK1nG at Nov. 18, 2024
Data Science Bundle: 180 Hands-On Projects - Course 1 Of 3

Data Science Bundle: 180 Hands-On Projects - Course 1 Of 3
Last updated 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 46.00 GB | Duration: 73h 40m

Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud)