yes_no
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Sixty recordings of one individual saying yes or no in Hebrew; each recording is
eight words long.
The main point of the dataset is to provide an easy and fast way to test out the
Kaldi scripts for free.
The archive "waves_yesno.tar.gz" contains 60 .wav files, sampled at 8 kHz. All
were recorded by the same male speaker, in Hebrew. In each file, the individual
says 8 words; each word is either the Hebrew for "yes" or "no", so each file is
a random sequence of 8 yes-es or noes. There is no separate transcription
provided; the sequence is encoded in the filename, with 1 for yes and 0 for no.
Split |
Examples |
'train' |
60 |
FeaturesDict({
'audio': Audio(shape=(None,), dtype=int64),
'audio/filename': Text(shape=(), dtype=string),
'label': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=2)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
audio |
Audio |
(None,) |
int64 |
|
audio/filename |
Text |
|
string |
|
label |
Sequence(ClassLabel) |
(None,) |
int64 |
|
@ONLINE {YesNo,
author = "Created for the Kaldi Project",
title = "YesNo",
url = "http://www.openslr.org/1/"
}
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Last updated 2022-12-06 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-12-06 UTC."],[],[],null,["# yes_no\n\n\u003cbr /\u003e\n\n- **Description**:\n\nSixty recordings of one individual saying yes or no in Hebrew; each recording is\neight words long.\n\nThe main point of the dataset is to provide an easy and fast way to test out the\nKaldi scripts for free.\n\nThe archive \"waves_yesno.tar.gz\" contains 60 .wav files, sampled at 8 kHz. All\nwere recorded by the same male speaker, in Hebrew. In each file, the individual\nsays 8 words; each word is either the Hebrew for \"yes\" or \"no\", so each file is\na random sequence of 8 yes-es or noes. There is no separate transcription\nprovided; the sequence is encoded in the filename, with 1 for yes and 0 for no.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/yesno)\n\n- **Homepage** : \u003chttps://www.openslr.org/1/\u003e\n\n- **Source code** :\n [`tfds.audio.yesno.YesNo`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/audio/yesno/yesno.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): No release notes.\n- **Download size** : `4.49 MiB`\n\n- **Dataset size** : `16.27 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'train'` | 60 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'audio': Audio(shape=(None,), dtype=int64),\n 'audio/filename': Text(shape=(), dtype=string),\n 'label': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=2)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|----------------|----------------------|---------|--------|-------------|\n| | FeaturesDict | | | |\n| audio | Audio | (None,) | int64 | |\n| audio/filename | Text | | string | |\n| label | Sequence(ClassLabel) | (None,) | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('audio', 'label')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @ONLINE {YesNo,\n author = \"Created for the Kaldi Project\",\n title = \"YesNo\",\n url = \"http://www.openslr.org/1/\"\n }"]]