en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

Enhancing Speech Recognition with Telephone Conversation Speech Data

From:Nexdata Date:2024-04-01

Telephones have been a ubiquitous means of communication for decades, and telephone conversations provide a wealth of valuable speech data. By collecting and analyzing large volumes of telephone conversation speech data, researchers and technologists have been able to train speech recognition systems to better understand and interpret conversational speech patterns.

Telephone conversation speech data enables the development of robust and accurate speech recognition models specifically designed for real-world conversational scenarios. The data captures various acoustic characteristics, including different accents, speaking rates, and background noise commonly encountered in telephone conversations. By incorporating this data into the training process, speech recognition systems can adapt and perform well in challenging acoustic environments.

The use of telephone conversation speech data has also contributed to advancements in language processing and natural language understanding. Telephone conversations reflect the dynamics of human communication, including interruptions, overlaps, and other conversational phenomena. By analyzing such data, researchers gain insights into the intricacies of human conversation, leading to the development of more sophisticated and context-aware speech recognition models.

Moreover, telephone conversation speech data has proved invaluable in improving the accuracy and efficiency of automated customer service systems. By training speech recognition models on data collected from customer calls, these systems can better understand and respond to customer inquiries, leading to more effective and satisfying interactions. This not only enhances customer experience but also increases the overall efficiency and productivity of customer service operations.

Nexdata Conversational Speech Data by Telephone

500 Hours – Spanish Conversational Speech Data by Telephone

The 500 Hours - Spanish Conversational Speech Data involved more than 700 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 8kHz, 8bit, 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.

760 Hours - Hindi Conversational Speech Data by Telephone

The 760 Hours - Hindi Conversational Speech Data involved more than 1,000 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 8kHz, 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. The accuracy rate of sentences is ≥ 95%.

500 Hours - Italian Conversational Speech Data by Telephone

The 500 Hours - Italian Conversational Speech Data involved more than 700 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 8kHz, 8bit, 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.

500 Hours - French Conversational Speech Data by Telephone

The 500 Hours - French Conversational Speech Data involved more than 700 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 8kHz, 8bit, 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.

150 Hours - Korean Conversational Speech Data by Telephone

The 150 Hours - Korean Conversational Speech Data by Telephone involved more than 200 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 audio format is 8kHz, 8bit, 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.

1,000 Hours - Thai Conversational Speech Data by Telephone

The 1,000 Hours - Thai Conversational Speech Data involved more than 1,300 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 8kHz, 16bit, 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.

c021873f-c85d-4b3c-b160-56aebf0d4e29