Training a custom AI voice model in Lalals allows music producers and vocalists to create a reusable digital vocal persona for scratch tracks, vocal harmony stacks, demo mockups, and AI cover transformations. However, AI voice synthesis strictly reflects dataset quality: any room reverb, sibilance, background noise, or heavy compression baked into your source audio will be permanently learned by the neural network, resulting in metallic phase artifacts, robotic pitch glitches, or muffled high frequencies.
To achieve professional, commercial-grade vocal synthesis, producers must prepare an immaculate, dry dataset, configure the correct training parameters, and integrate the resulting model into an authentic mixing workflow.
1. Preparing the Clean Vocal Dataset
The quality of your custom model hinges entirely on your raw audio files. Lalals analyzes pitch contour, harmonic overtones, breath dynamics, and phonetic articulation from the source audio to construct a neural vocal profile.
Audio File Specifications
- Formats Accepted: 24-bit uncompressed
.wavor.flacfiles (packaged into a single.zipfile for batch upload). Avoid lossy formats like MP3 or AAC, which strip psychoacoustic information and introduce phase distortion. - Sample Rate: Record and export at 44.1 kHz or 48 kHz.
- Recording Level: Target a peak level between -6 dBFS and -3 dBFS. Avoid digital clipping (0 dBFS) at all costs, and keep noise floor levels below -60 dBFS.
Critical Vocal Recording Rules
- Zero Time-Based Effects (100% Dry Audio): Turn off all reverbs, delays, choruses, and room ambiance plugins. Reverb cannot be separated by training algorithms and will smear every synthesized note into a muddy, hollow echo.
- Controlled Acoustic Environment: Record inside a vocal booth or a heavily treated room treated with dense absorption panels. Flutter echo and resonant room modes will degrade the vocal model’s clarity.
- Hardware Discipline: Use a quality condenser or dynamic microphone paired with a pop filter to eliminate plosives (
p,b,t). Maintain a consistent distance (5 to 7 inches) from the capsule to prevent fluctuating proximity effect. - Vocal Performance Diversity:
- For Quick Text-to-Speech (TTS) Cloning: A minimum of 10 to 30 seconds of clean speech is required.
- For Musical Singing Models: Prepare between 10 to 30 minutes of varied vocal material. Include clean sustained vowels, staccato phrases, dynamic transitions (soft chest voice, mixed voice, and head voice/falsetto), and different melodic intervals. This wide tonal variety teaches the AI how the vocalist handles pitch bends and registers.
Pre-Cleanup with Lalals Built-In Tools
If you are extracting vocal stems from existing multi-track sessions or isolated takes that carry slight leakage:
- Use the Lalals Stem Splitter (which can isolate up to 23 stems on Pro plans) to strip backing instruments and bleed.
- Run noisy takes through the De-Noise / Echo & Reverb Remover module before packaging your audio files into a
.ziparchive.
2. Training the Custom Voice Model in Lalals
Once your dry audio files are gathered into a .zip folder, initiate the model training workflow directly inside the Lalals browser platform:
- Access the Voice Cloning Module: Log in to your Lalals account and navigate to Voice Cloning in the primary navigation menu.
- Upload Audio Samples: Drag and drop your
.ziparchive (or individual.wav/.flacfiles) into the upload container. - Name and Identity: Assign a clear, identifiable name to the model (e.g.,
Studio_Session_Vocal_Tenor) and select an avatar image for easy selection in your voice library. - Select Training Engine Tier:
- Standard Tier: Utilizes Lalals standard training algorithm. Turnaround time is approximately 24 hours. Good for general spoken narration and basic melodic trials.
- Premium / Studio Tier: Employs advanced neural algorithms with enhanced automated cleanup, superior formant retention, and faster GPU processing (typically completing within 90 minutes). This tier produces significantly more natural breath dynamics and high-frequency resolution required for lead vocals.
- Start Training: Click Start Training. Training occurs entirely on Lalals cloud GPU clusters. You can safely close your browser or navigate to other projects; Lalals will update your voice library once training completes.
3. Production Workflow: Generating and Fine-Tuning Vocals
After training finishes, your custom model appears in your private voice menu alongside the platform’s library of 3,000+ voices. It can be applied across the Voice Changer, Covers, and Text-to-Speech modules.
Transforming Reference Vocals (Voice Changer)
In modern music production, the most powerful application is transforming a guide vocalist's scratch performance into your custom artist timbre:
- Input Reference: Upload a dry vocal guide track recorded with correct phrasing, timing, and pitch articulation.
- Pitch Shifting & Octave Alignment: If the guide singer’s native register differs from your custom model (e.g., converting a male baritone guide to a female soprano model), adjust the pitch slider in semitones (+/- 12 semitones per octave). Aligning pitch ranges prevents unnatural robotic artifacting and straining.
- Clarity and Blend Controls: Adjust the voice conversion intensity to balance the unique vocal inflections of the guide performance with the exact timbre of the trained model.
- Render: Generate the converted audio file.
4. DAW Integration and Mixing Best Practices
Never treat an AI-rendered vocal track as a finished mix. To blend an AI vocal naturally into an instrumental production inside your Digital Audio Workstation (Ableton Live, Logic Pro, FL Studio, or Pro Tools):
- Export Lossless WAV: Always download generations in lossless WAV format. The free Lalals tier restricts downloads to compressed MP3, whereas paid plans (such as the Pro tier at $24.99/month or $16.99/month annual) unlock 24-bit Lossless WAV downloads, commercial usage rights, and rocket-speed queue processing.
- Surgical EQ Cleanup: High-pass filter the track around 80–100 Hz to remove low-frequency rumble. Use narrow parametric EQ cuts to eliminate harsh mid-range resonances (often occurring between 2 kHz and 4.5 kHz in synthesized audio).
- De-Essing: AI voice conversion can exaggerate dental sibilants (
s,sh,z). Place a dedicated de-esser focused on the 5 kHz–8 kHz frequency band prior to your main compressor. - Dynamic Control & Tuning: Run gentle pitch correction (such as Celemony Melodyne or Antares Auto-Tune) if small micro-pitch variations need smoothing, followed by transparent optical or VCA compression to anchor the vocal in the mix.
- Re-introducing Space: Because the model was trained on 100% dry vocals, send the vocal track to auxiliary stereo reverb and delay busses to seat the performance within the song's virtual acoustic environment.