[P] Speech-to-Text Benchmark: 47,638 mins transcribed per $1 on RTX3070 Ti (1000-fold cost reduction than managed services)

# Speech-to-text benchmark with Parakeet TDT 1.1B

Our previous Speech-to-text benchmarks on [Whisper Large V3 benchmark](https://www.reddit.com/r/MachineLearning/comments/1ar08br/p_whisper_large_v3_benchmark_1_million_hours/) (11,736 mins/$) and [Whisper Large V2 benchmark](https://www.reddit.com/r/MachineLearning/comments/16ftd9v/p_whisper_large_benchmark_137_days_of_audio/) (1681 mins/$) generated a healthy discussion here.

Next on our list of open-source STT models is **Parakeet TDT 1.1B** which turned out to the winner.

In this benchmark, we transcribed **17,305 hours** of CommonVoice (en) audio to text from 5,209,130
audio files.

# Benchmark results:

Parakeet TDT 1.1B on a **RTX 3070 Ti** delivered **47,638 minutes per …

audio benchmark cost files list machinelearning managed managed services next per services speech speech-to-text text