license: apache-2.0
LJSpeech-1.1 High-Resolution Dataset (48,000 Hz)
The LJSpeech-1.1 dataset, widely recognized for its utility in text-to-speech (TTS) and other speech processing tasks, has now been enhanced through a cutting-edge speech super-resolution algorithm. The original dataset, which featured a sampling rate of 22,050 Hz, has been upscaled to 48,000 Hz using ClearerVoice-Studio, providing a high-fidelity version suitable for advanced audio processing tasks.
Key Features
High-Resolution Audio: The dataset now offers audio files at a sampling rate of 48,000 Hz, delivering enhanced perceptual quality with richer high-frequency details.
Original Content Integrity: The original linguistic content and annotation structure remain unchanged, ensuring compatibility with existing workflows.
Broader Application Scope: Suitable for professional-grade audio synthesis, TTS systems, and other high-quality audio applications.
Open Source: Freely available for academic and research purposes, fostering innovation in the speech and audio domains.
Original Dataset
Source: The original LJSpeech-1.1 dataset contains 13,100 audio clips of a single female speaker reading passages from public domain books.
Duration: Approximately 24 hours of speech data.
Annotations: Each audio clip is paired with a corresponding text transcript.
Super-Resolution Processing
The original 22,050 Hz audio recordings were processed using a state-of-the-art MossFormer2-based speech super-resolution model. This model employs:
Advanced Neural Architectures: A combination of transformer-based sequence modeling and convolutional networks.
Perceptual Optimization: Loss functions designed to preserve the naturalness and clarity of speech.
High-Frequency Reconstruction: Algorithms specifically tuned to recover lost high-frequency components, ensuring smooth and artifact-free enhancement.
Output Format
Sampling Rate: 48,000 Hz
Audio Format: WAV
Bit Depth: 16-bit
Channel Configuration: Mono
Use Cases
Text-to-Speech (TTS) Synthesis ○ Train high-fidelity TTS systems capable of generating human-like speech. ○ Enable expressive and emotionally nuanced TTS outputs.
Speech Super-Resolution Benchmarking ○ Serve as a reference dataset for evaluating speech super-resolution algorithms. ○ Provide a standardized benchmark for perceptual quality metrics.
Audio Enhancement and Restoration ○ Restore low-resolution or degraded speech signals for professional applications. ○ Create high-quality voiceovers and narration for multimedia projects.
File Structure
The dataset retains the original LJSpeech-1.1 structure, ensuring ease of use:
LJSpeech-1.1-48kHz/
├── metadata.csv # Text transcriptions and audio file mappings
├── wavs/ # Directory containing 48,000 Hz WAV files
└── LICENSE.txt # License information
Licensing
The LJSpeech-1.1 High-Resolution Dataset is released under the same open license as the original LJSpeech-1.1 dataset (https://keithito.com/LJ-Speech-Dataset/). Users are free to use, modify, and share the dataset for academic and non-commercial purposes, provided proper attribution is given.