HyperAIHyperAI

Command Palette

Search for a command to run...

3 months ago

BUT QUESST 2014 System Description

{Lukáš Burget Miroslav Skácel Igor Szöke}

BUT QUESST 2014 System Description

Abstract

The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck feature extractors were both in-language (Czech) and out-of-language (other 4 languages). We also performed experiments on T1/T2/T3 types of query, system calibration and fusion based on binary logistic regression

Benchmarks

BenchmarkMethodologyMetrics
keyword-spotting-on-quesstBUT (g-LID)
MinCnxe: 0.929
keyword-spotting-on-quesstBUT (AKWS-T3-cz)
MinCnxe: 0.673
keyword-spotting-on-quesstBUT (g-best_single)
MinCnxe: 0.533
keyword-spotting-on-quesstBUT (g-bigfusionnoside )
MinCnxe: 0.486
keyword-spotting-on-quesstBUT (AKWS-cz)
MinCnxe: 0.641
keyword-spotting-on-quesstBUT (p-bigfusion)
MinCnxe: 0.461

Build AI with AI

From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.

AI Co-coding
Ready-to-use GPUs
Best Pricing
Get Started

Hyper Newsletters

Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp
BUT QUESST 2014 System Description | Papers | HyperAI