Noothi/indicf5-nfe10-100sentence-benchmark
Telugu TTS Benchmark (NFE=10, FP32) This dataset contains 100 synthesized Telugu audio samples generated using an Indic TTS model with NFE=10 and FP32 precision on an RTX 5090. Dataset Structure The dataset uses the audiofolder format. The metadata.jsonl file located in the audio/ directory maps each .wav file to its corresponding Telugu text transcription, category, and generation metrics (RTF, VRAM, RMS). Benchmark Configuration NFE Step: 10… See the full description on the dataset page: https://huggingface.co/datasets/Noothi/indicf5-nfe10-100sentence-benchmark.
Telugu TTS Benchmark (NFE=10, FP32)
This dataset contains 100 synthesized Telugu audio samples generated using an Indic TTS model with NFE=10 and FP32 precision on an RTX 5090.
Dataset Structure
The dataset uses the audiofolder format. The metadata.jsonl file located in the audio/ directory maps each .wav file to its corresponding Telugu text transcription, category, and generation metrics (RTF, VRAM, RMS).
Benchmark Configuration
- NFE Step: 10
- Precision: FP32
- Solver: Euler
- GPU: RTX 5090