Studio Quality Audio Dataset in Chinese

About This OTS Dataset

This Off-The-Shelf (OTS) dataset presents an extensive collection of studio-grade audio recordings captured in professional acoustically treated studio environments. Curated to enable high-fidelity speech recognition, premium voice assistants, neural audio enhancement, high-end voice synthesis, and next-generation multimodal AI systems, this dataset provides exceptionally clean, noise-free, studio-quality voice data representing the highest precision standards in speech data engineering.

These recordings are captured exclusively using professional microphones, industry-standard studio audio interfaces, sound isolation panels, and calibrated gain settings, ensuring pristine vocal clarity and the absence of environmental noise, echo, hiss, distortion, or compression artifacts.

Metadata Availability: Studio Recording Information

Each sample is provided with detailed metadata covering speaker demographics (age group, gender, country, dialect region), recording environment parameters (mic model, mic type, mic position, acoustic treatment level, capture chain specifications), and audio properties (noise floor, SNR, loudness normalization range, sample rate, bit depth). This metadata empowers precise model training, audio benchmarking, calibration work, and controlled experimentation.

Audio Recording Specifications

Audio Duration: Varies based on language and dataset tier (typically 200–800 hours)
Formats Utilized: WAV / FLAC with lossless fidelity
Sample Rates Available: 16 kHz, 24 kHz, 44.1 kHz, 48 kHz, and optional 96 kHz for ultra-high resolution voice modelling
Languages Offered: Available in Chinese, captured exclusively from native speakers with premium microphone capture
Recording Quality: Studio-grade, ultra-clean, no background noise, no reverb, consistent mic positioning, consistent gain, balanced loudness calibration
Recording Scenarios: Scripted utterances, spontaneous conversations, narrative reading, prompt-driven speech, phoneme-rich vocal material, emotion-tagged speech, model-tuning voice targets
 

This specification design ensures compatibility for high-resolution ASR systems, voice cloning, TTS voice training, voice biometric models, and acoustic model research.

Insights into Audio Data

The dataset includes diverse recording scenarios relevant for high precision speech training across advanced AI model categories including NLU, TTS, ASR, voice generation, speaker recognition, and acoustic modelling.

Key Features:

Studio Mic Chain: High-end vocal microphones, professional interfaces, calibrated preamps, controlled sound isolation, near-zero noise floor
Native Speaker Coverage: Authentic Chinese speakers from diverse demographic groups and dialect regions
Vocal Variety: Neutral tonality, expressive tonality, emotionally modulated speech, voice projection variations, narrative voice, conversational voice
Balanced Speech Distribution: Includes short utterances, long utterances, sentence-level speech, paragraph reading, spontaneous reactions, question-response patterns
Multi-Purpose Audio Capture: Applicable for TTS training, VITS/VALL-E model fine tuning, emotional speech modelling, prosody conditioning, acoustic fingerprinting, noise-free ASR Created in partnership with certified studio recording engineers, native language experts, and professional voice narration talent, this dataset captures human speech in its cleanest possible recording conditions while ensuring rich linguistic coverage and broad acoustic diversity within a controlled, studio-accurate environment.

Dataset Transcription Details

Each audio file is accompanied by detailed transcriptions in JSON format, including:

• Verbatim text transcription
• Time-coded alignment for segment level mapping
• Speaker tags (if multi-speaker scenarios are used)
• Emotion & prosody markers (neutral, excited, calm, serious, disappointed, etc.)
• Non-speech markers (breaths, intentional pauses, fillers, laughter, coughs)
• Intent labels for spontaneous conversational segments
• Phonetic richness tags (phoneme dense sentences, accent markers, clarity evaluations)
• Linguistic quality markers (mispronunciation flags, articulation clarity scores)
• This unlocks accelerated training for high-resolution ASR, VITS/TTS prosody control, emotional voice synthesis, speech quality benchmarking, and phoneme-level speech modelling for Chinese.

License

Exclusively curated by Macgence, this premium studio-recorded speech dataset is available for commercial use and licensing, to support enterprises building high-quality multimodal generative AI, studio-grade virtual humans, premium voice assistants, and TTS models for Chinese.

Updates and Customization

Dataset expansion modules and customization packages are available, including:

• Additional sample rates and bit depth variations
• Domain-specific voice content (healthcare, finance, travel, retail)
• Emotion-specific speech recording modules
• Persona-based voice character modules
• Dialect-weighted speaker selection
• Children/teen/elderly voice inclusion
• Targeted speaker voice matching for brand voice development
• Multilingual add-on packs
• Noise-injected augmentation variants (for robustness testing)

Why Macgence Stands Out

We do not simply record audio — we build professionally controlled acoustic resources engineered for model training.

Our strengths include:
 

• Bespoke studio audio pipelines created for AI, not media
• Full acoustic metadata for controlled experiments
• True native speaker coverage with dialect diversity
• Industry-grade voice talent and mic engineering
• Transparent commercial licensing and flexible customization

Ideal Use Cases

This studio quality speech dataset is ideal for:
 

• Training and fine-tuning large ASR models
• Developing premium neural TTS systems
• Building voice cloning & voice avatar training pipelines
• Research on prosody, articulation, and speech generation models
• Speaker recognition / biometric identity verification
• Benchmarking speech enhancement/denoising models
• Building commercial voice assistants with premium voice quality
• Developing hybrid multimodal voice and video synthesis systems

By selecting Macgence, you gain access to one of the cleanest and most acoustically precise speech datasets available, enabling you to build studio-grade, human-level, next-gen speech AI systems for Chinese markets.