MarieDeVox/excited-english-female-vocal-dataset

Micro-Expression Vocal Dataset Matrix (100-Word Operational Toolkit)

Brand Engine: Marie DeVox

Maintainer Intake: voicevendorco@gmail.com | https://payhip.com/MarieDeVox

Format Architecture: Uncompressed WAV (44.1kHz / 24-bit Linear PCM)

Metadata Schema: LJ Speech-Compliant Structural Mapping (metadata.csv)

IMPORTANT

The audio assets and metadata files in this directory are a free preview intended strictly for pipeline testing, format validation, and evaluation. Commercial deployment or integration of these specific files is prohibited without purchasing the licensed package from the storefront. All other technical and data provenance terms below apply.

Dataset Overview

This repository contains a premium, highly targeted compilation of 100 single-word basic operational commands, interface variables, and system triggers.

Current Pack Configuration: [MICRO VOCAL DATASET - [e.g., The "Sleepy / Lo-Fi Casual" Pack] — featuring low-register, calm, relaxed deliveries optimized for bedside smart-home UI and lofi companion software.]

Unlike highly processed, artificial text-to-speech files, this dataset delivers natural, unforced human acoustic baselines. It is meticulously engineered to provide machine learning pipelines with authentic micro-expressions, localized vocal-fry textures, and emotional weight variants.

Deep Technical Specifications

Data scientists and machine learning engineers can integrate these assets immediately into acoustic modeling pipelines with zero preprocessing overhead:

• Audio Quality Profile: Studio-grade, dry acoustics with an ultra-low noise floor. Completely clean of digital artifacts, room reflections, or destructive gating.
• Format: Universal .wav format, exported at 44.1kHz sample rate and 24-bit depth for pristine acoustic feature extraction.
• Splicing Execution: Rapid-fire delivery sliced cleanly into 100 independent files using zero-crossing point cuts to eliminate digital clicking.

Metadata Structural Schema

The collection includes a unified, dual-layered mapping matrix (metadata.csv) that follows industry-standard structural compliance. It maps spoken files explicitly to eliminate alignment calibration bottlenecks:

Column Name	Data Type	Description / Machine Learning Utility
id	String	Unique alphabetic file locator matching the corresponding .wav file exactly.
raw_text	String	Retains human-readable text layouts, proper capitalizations, and native symbol structures.
normalized_text	String	Fully expanded phonetic layer. Crucial for acoustic-to-text mapping (all acronyms and interface variables are textually spelled out).

Core Machine Learning Target Use-Cases

1. Wake-Word & Micro-Command Training: Perfect for training localized edge-AI smart appliances, IoT home infrastructure, and robotics components to recognize essential navigation controls.
2. Acoustic Style-Prompting: Ideal for feeding into modern multi-speaker generative models (such as Bark, VITS, or Voicebox) as a brief 2-to-3 second structural audio prompt to copy specific emotional weight variants or vocal textures.
3. UI/UX Sound Design: Frictionless integration into video game interfaces, software dashboards, mobile application reward panels, and error-handling warning modules.

Sourcing Integrity & Licensing Parameters

• Ethical Data Provenance: This is a 100% primary source dataset recorded with explicit, fully informed commercial-use consent from a verified human performer. It features zero web-scraped media, zero third-party copyright vulnerabilities, and zero synthetic deepfakes.
• Commercial Deployment Rights: Commercial use is completely granted under our standard licensing terms for application integration, software development, local fine-tuning, and media production.
• Strict Restrictive Boundaries: This license strictly excludes utilization for the development or training of public, open-ended, multi-tenant foundational generative text-to-speech (TTS) cloning systems.

Contact & Custom Technical Procurement

Need an expanded word bank, custom brand phrase recording, or complete copyright buyouts for foundational speech models?

Reach out directly via voicevendorco@gmail.com to initiate enterprise terms or request customized data synthesis packages.