Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Code

• github.com/retrocirce/hts-audio-transformer
  pytorch★ 480
• github.com/qute012/Wav2Keyword
  pytorch★ 109
• github.com/saraalemadi/DroneAudioDataset
  tf★ 98
• github.com/Qualcomm-AI-research/bcresnet
  pytorch★ 91
• github.com/ncsoft/phonmatchnet
  tf★ 59
• github.com/idiap/sparch
  pytorch★ 30
• github.com/maxtimer97/ssm-inspired-lif
  pytorch★ 7
• github.com/dapeter/nas-for-kws
  pytorch★ 4
• github.com/pulp-platform/eae-kws
  pytorch★ 3
• github.com/lukesin/nas-for-kws-2
  pytorch★ 1

Abstract

Describes an audio dataset of spoken words designed to help train and evaluate keyword spotting systems. Discusses why this task is an interesting challenge, and why it requires a specialized dataset that is different from conventional datasets used for automatic speech recognition of full sentences. Suggests a methodology for reproducible and comparable accuracy metrics for this task. Describes how the data was collected and verified, what it contains, previous versions and properties. Concludes by reporting baseline results of models trained on this dataset.

Tasks

Benchmark Results

Reproductions