AUDIO AI PORTFOLIO
AI AUDIO EVALUATOR
VOICE & SPEECH QA
AUDIO ANNOTATION SME
SOUND DESIGNER
BAURU, BRAZIL / UTC-3 / 20+ HRS WEEK / FL STUDIO / 48-24 WAV
LUCAS FERNANDES NASCIMENTO
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Four voice samples with raw and processed versions, demonstrating English technical narration, conversational delivery, expressive reading, and native Brazilian Portuguese. Recorded with Audio-Technica AT2020, M-Audio M-Track Solo, and edited/exported in FL Studio.
Neutral English narration demonstrating clarity, pacing, pronunciation, and technical delivery.
Natural English explanation style, showing spoken clarity, timing, and less formal delivery.
Expressive read demonstrating tone control, atmosphere, and dynamic vocal presence.
Native Brazilian Portuguese sample demonstrating natural articulation, pacing, and bilingual voice capability.
Before/after restoration cases showing noise reduction, room cleanup, clipped vocal repair, and AI-generated audio denoising. All WAV files are short 48kHz / 24-bit exports.
Structured annotation and technical evaluation of an unreleased human-made production excerpt, combining timestamped segmentation, instrumentation tagging, vocal-sample treatment notes, mix behavior, measured fidelity review, and evaluation-style technical annotation.
| Section | Summary |
|---|---|
| Purpose | Portfolio annotation sample demonstrating timestamped segmentation, instrumentation tagging, vocal-sample treatment notes, mix behavior, measured fidelity review, and evaluation-style technical annotation. |
| Arrangement / Production | The excerpt develops from a chopped spoken-word interview intro into a filtered 808-driven electronic beat, using gating, reverse edits, cut-and-repeat phrasing, synth pads, bell-like synth details, and LFO-driven synth-bass movement. |
| Technical Behavior | The intro is more open and midrange-forward, while the beat sections are moderately compressed, center-focused, and low-end dominant, with the strongest measured low-frequency focus around 64.6 Hz. |
| Evaluation Focus | The main production signature is the transformation of spoken-word material into rhythmic and musical texture. The main technical flag is peak/headroom: true peak reaches around +1.2 dBFS, so the file is not broadcast-safe without correction. |
This document presents a structured audio annotation of an unreleased 2016 production excerpt, combining musical segmentation with measured technical review. Integrated loudness is estimated at -8.6 LUFS, with 9.0 LU loudness range and true peak around +1.2 dBFS. The mix is narrow-to-moderate, center-focused, and mostly mono-compatible by correlation, with controlled transients and no proven sustained clipping, codec artifacts, or phase problems. Overall fidelity is best described as clean demo / mid-tier production, with a clear note that peak/headroom correction is needed before broadcast-safe delivery.
Original sound design and production excerpt in a breakcore-influenced experimental electronic style. The piece combines bass design, synth/FM texture, processed voice material, fast breakbeat edits, dense rhythmic programming, and club-oriented low-end pressure.
| Source | Original production excerpt by Lucas Fernandes Nascimento |
| Style | Breakcore-influenced experimental electronic |
| Focus | Bass design, synth/FM texture, processed voice material, fast breakbeat edits, dense rhythmic programming |
| Role | Composition, sound design, arrangement, processing, mixing, mastering |
| File | sound-design-reel-breakcore-synth-voice.mp3 |
Evaluating generative audio is different from evaluating finished records. You're not judging a final product -- you're judging a model's attempt to produce one. This framework is the working discipline I apply across audio evaluation and annotation workflows, holding two frames at once: is this good audio, and is this a good output given what was asked.
| Dimensions | 1. Audio Quality (technical) 2. Mix Quality (engineering) 3. Musicality (perceptual/aesthetic) 4. Prompt Adherence (generative-specific) 5. Vocal Quality (when present) |
| Featured | Intent vs. Failure |
The core discipline is distinguishing stylistic choices from technical failures. Four principles I apply:
Curated releases showing electronic production, remix work, sound design, vocal manipulation, beat programming, and international label context.
| Year | Artist | Title | Label / Context | Link |
|---|---|---|---|---|
| 2020 | Casinhas Fofas | “Raio” -- Casinhas Fofas Remix | MAMBA REC, Brazil | PLAY -> |
| 2019 | AKAAKA | “HOPEBACK” | XXIII, Portugal | PLAY -> |
| 2019 | AKAAKA | “Wacky” | Bruk Broken Beats, Brazil | PLAY -> |
| 2016 | AKAAKA | “The Sound” | THUMP / Zambi, USA-Brazil | PLAY -> |
| 2016 | AKAAKA | “Dolphin” | THUMP / FLUXXX, USA-Brazil | PLAY -> |
| 2014 | AKAAKA | “Benzydamine” | LKHP, Germany | PLAY -> |
| 2013 | AKAAKA | “São Sebastião” | Unlabelled / self-release | PLAY -> |
| 2011 | AKAAKA | “You Make You Feel” -- Dumbo Gets Mad Remix | Bad Panda Records | PLAY -> |
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