Music Transcription, Computational Audio Expert – Python

This is a fully remote position, open to applicants in India, +5 more countries.

📋 Description

• Transcribe intricate polyphonic musical recordings into organized notation.

• Isolate concurrent soprano, alto, tenor, and bass lines from blended audio.

• Recognize pitches, note onsets, durations, rests, and re-articulations.

• Quantize musical events to fit the correct rhythmic structure.

• Apply precise key signatures, accidentals, and enharmonic spelling.

• Create, edit, and verify MusicXML scores.

• Utilize Python for audio examination, spectral analysis, and workflow optimization.

• Confirm transcriptions by means of musical review, structured checks, or resynthesis.

• Detect and rectify subtle discrepancies in pitch, rhythm, voicing, or notation.

• Develop accurate and reproducible transcription workflows.

⛳️ Requirements

• Proficient in Python programming.

• Advanced ear training with proven skills in polyphonic music transcription.

• In-depth understanding of harmony, rhythm, voice leading, and conventional musical notation.

• Experience in SATB music, choral arranging, score preparation, or similar multi-part transcription.

• Capability to differentiate simultaneous musical lines from mixed recordings.

• Familiarity with creating or modifying digital musical scores.

• Ability to validate complex transcriptions for both musical and technical precision.

• Strong written English skills for documenting technical methods and outcomes.

• Experience with one or more of the following is advantageous, but no single platform is required: librosa, NumPy / SciPy, music21, Essentia, pretty_midi, MuseScore, MusicXML, or similar audio analysis, transcription, or notation software.

🏝️ Benefits

• Opportunity to work with innovative tools and technologies.

• Collaborate with a talented team of music professionals.

• Flexible work environment promoting creativity and productivity.