Orlando di Lasso1530 - 1594: classical repertoire from the TuneViva catalogue

This collection reflects catalog attributions. Biographical information and attributions have not been independently researched.

TuneViva holds 10 scores under Orlando di Lasso1530 - 1594, and the catalogue does not record a reliable biography for this name. The collection is classical repertoire, so this page describes the scores themselves rather than the person behind them. Playing time is roughly 60 minutes, with 12,397 notated notes in all. 10 scores are at complexity index 0, and 10 include lyrics.

Frequently opened titles include In monte Oliveti - Orlando di Lasso, In hora ultima - Orlando di Lasso and Benedictus es Domine - Orlando di Lasso. All entries can be read on screen, transposed and downloaded; PDF is standard, with MusicXML and MIDI on most files.

About Orlando di Lasso1530 - 1594

TuneViva holds 10 scores under Orlando di Lasso1530 - 1594, and the catalogue does not record a reliable biography for this name. The collection is classical repertoire, so this page describes the scores themselves rather than the person behind them.

The collection runs to about 60 minutes and 12,397 notated notes. 10 entries sit at complexity index 0, 0 at index 1 and 0 at index 2. 10 scores include lyrics, so the set is useful to singers as well as instrumentalists.

Titles are recorded as uploaded, so the same piece can appear with the composer's name appended or under a different spelling. Check the scoring and editorial marks on each file before printing. The list below links to the most-viewed works, and the related composers share the same broad repertoire. Every entry can be previewed in the browser, transposed into a comfortable key and downloaded as a PDF. MusicXML and MIDI files are available where the uploader provided them, and the score view is rendered from the notation file. The catalogue records duration, note count, track count and complexity for each file, so settings can be compared before opening them. Titles are preserved as uploaded, so the same piece may appear under more than one spelling or with the composer's name appended.

Listening and playing notes

These are vocal scores: expect underlaid text, short phrases and refrains that repeat. Keep the words clear and let the accompaniment support rather than cover the voices. The collection runs to about 60 minutes, so most individual pieces are short. Check the scoring named on the file before printing. The complexity index is a rough proxy for notation density, not a formal grade.

Selected scores

  1. In monte Oliveti - Orlando di Lasso

    Among the most-opened files here (68 views), at complexity index 0 and about 2.7 minutes.

  2. In hora ultima - Orlando di Lasso

    32 views; complexity index 0; about 4.7 minutes.

  3. Benedictus es Domine - Orlando di Lasso

    24 views; complexity index 0; about 3.3 minutes.

  4. Vinum bonum - Orlando di Lasso

    17 views; complexity index 0; about 3.5 minutes.

  5. Ardo, sì, ma non t'amo (Lasso's 2nd setting may be found here.) - Orlando di Lasso

    A classical repertoire piece with 10 views, complexity index 0 and a running time of about 4.3 minutes.

  6. Inclina Domine aurem tuam - Orlando di Lasso

    A classical repertoire piece with 10 views, complexity index 0 and a running time of about 3.3 minutes.

Questions about Orlando di Lasso1530 - 1594

How many Orlando di Lasso1530 - 1594 scores are on TuneViva?

There are 10 scores, running to about 60 minutes of music and 12,397 notated notes.

Can I download these scores as PDFs?

Yes. Every entry can be previewed, transposed and downloaded; PDF is standard, with MusicXML and MIDI where the file provides them.

Are the scores public domain?

The catalogue lists them as public domain or CC0. Check the individual file before republishing.

What is the most-viewed Orlando di Lasso1530 - 1594 score?

In monte Oliveti - Orlando di Lasso, with 68 views.

Browse all 10 scores

Catalog editions and arrangements attributed to Orlando di Lasso1530 - 1594.

Related composer collections

Sources