README.md

Conversational_Speech_Dataset

This is a dataset of conversational speech.

● 2,657 Hours - Mandarin Mobile Telephony Conversational Speech Collection Data

4491 speakers participated in the recording and conducted face-to-face communication in a natural way. no topics are specified, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1005?source=Github

● 1,000 Hours – American English Conversational Speech Data by Mobile Phone

2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1004?source=Github

● 500 Hours – German Conversational Speech Data by Mobile Phone

About 750 speakers participated in the recording, and conducted communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1121?source=Github

● 500 Hours - French Conversational Speech Data by Mobile Phone

About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1103?source=Github

● 500 Hours - Spanish Conversational Speech Data by Mobile Phone

About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1147?source=Github

● 500 Hours - Italian Conversational Speech Data by Mobile Phone

About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1178?source=Github

● 500 Hours - Japanese Conversational Speech by Mobile Phone

About 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1166?source=Github

● 500 Hours - Korean Conversational Speech Data by Mobile Phone

About 700 Korean speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1103?source=Github

● 750 Hours - Hindi Conversational Speech Data by Mobile Phone

About 1,000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link:https://www.nexdata.ai/datasets/speechrecog/1156?source=Github

● 500 Hours – Vietnamese Conversational Speech Data by Mobile Phone

About 750 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1122?source=Github