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Datasets:
Nexdata
/
Indonesian_Conversational_Speech_Data_by_Mobile_Phone

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
soundfolder
Languages:
Indonesian
Size:
< 1K
Libraries:
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audio
audioduration (s)
2.44
5.23
YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Mobile_Phone

Description

The 300 Hours - Indonesian conversational speech data collected by phone involved about 300 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices are various mobile phones. The audio format is 16kHz, 16bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1239?source=Huggingface

Specifications

Format

16kHz 16bit, uncompressed wav, mono channel;

Environment

quiet indoor environment, without echo;

Recording content

dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;

Demographics

About 300 speakers totally

Annotation

annotating for the transcription text, speaker identification and gender

Device

Android mobile phone, iPhone;

Application scenarios

speech recognition; voiceprint recognition;

Accuracy rate

the word accuracy rate is not less than 98%

Licensing Information

Commercial License

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