# Content This is a set of one-second .wav audio files, each containing a single spoken English word. These words are from a small set of commands, and are spoken by a variety of different speakers. The audio files are organized into folders based on the word they contain, and this data set is designed to help train simple machine learning models. This dataset is covered in more detail at [https://arxiv.org/abs/1804.03209](https://arxiv.org/abs/1804.03209). The train dataset contains 105,835 .wav files. The test dataset contains 4,890 .wav files. # Collection The audio files were collected using crowdsourcing, see [aiyprojects.withgoogle.com/open_speech_recording](https://github.com/petewarden/extract_loudest_section) for some of the open source audio collection code we used (and please consider contributing to enlarge this data set). The goal was to gather examples of people speaking single-word commands, rather than conversational sentences, so they were prompted for individual words over the course of a five minute session. Twenty core command words were recorded, with most speakers saying each of them five times. The core words are "Yes", "No", "Up", "Down", "Left", "Right", "On", "Off", "Stop", "Go", "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", and "Nine". To help distinguish unrecognized words, there are also ten auxiliary words, which most speakers only said once. These include "Bed", "Bird", "Cat", "Dog", "Happy", "House", "Marvin", "Sheila", "Tree", and "Wow". # Source [http://download.tensorflow.org/data/speech_commands_v0.02.tar.gz](http://download.tensorflow.org/data/speech_commands_v0.02.tar.gz)