Fisher English Training Speech Part 1
The gold-standard conversational telephone speech corpus for enterprise-grade ASR and NLU development.
Paid
From $1500/yr
Acoustic Model Training
Speaker Identification
Topic Classification
LJ Speech Dataset
5.0
Open Source Universally acclaimed as the essential dataset for entry into speech synthesis research. Praised for its cleanliness and license.
The industry-standard public domain dataset for neural text-to-speech synthesis and voice modeling.
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Refined 3/4/2026
About LJ Speech Dataset
LJ Speech is a foundational public domain speech dataset released by Keith Ito in 2017, which remains the 'gold standard' benchmark for evaluating single-speaker neural text-to-speech (TTS) models in 2026. The dataset consists of 13,100 short audio clips of a single female speaker reading passages from seven non-fiction books. Technically, the collection provides approximately 24 hours of audio recorded at 22,050 Hz in 16-bit mono PCM, accompanied by normalized and non-normalized transcriptions in a CSV format. Its significance in the AI market lies in its role as a control variable; because the recording environment and speaker characteristics are consistent, researchers use it to isolate the performance of new architectures like Tacotron 2, FastSpeech, and HiFi-GAN. In 2026, it serves as the primary baseline for zero-shot cross-lingual transfer learning and as a pre-training corpus for more complex multi-speaker generative models. The Public Domain (CC0) status ensures it remains the most legally frictionless dataset for commercial and academic AI development.
Core Capabilities
LJ Speech is a foundational public domain speech dataset released by Keith Ito in 2017, which remains the 'gold standard' benchmark for evaluating single-speaker neural text-to-speech (TTS) models in 2026.
