Reception Communication Process Speech Dialogue Dataset

#Speech Recognition #Speech Emotion Analysis #Dialogue System Training #Intelligent Customer Service #Human-Computer Interaction #Speech Recognition #Natural Language Processing
  • 500 hours
  • 1.2G
  • WAV
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The data annotation accuracy reaches over 95%, ensuring a high degree of consistency and completeness. A new method for speech emotion labeling is implemented, improving the accuracy of emotion analysis. This dataset is widely used in optimizing dialing systems, enhancing customer service response capabilities, and improving efficiency. Compared to similar datasets, it covers richer dialects and scenarios, making it more suitable for multi-domain applications. The specific emotional expressions and regional accents in the data make it unique in speech recognition applications. It has excellent scalability, can adapt to new scenarios and requirements, and supports various speech recognition and analysis tasks.

Dataset Insights

Sample Examples

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  • 1c58e9cffac6e88fe7aba50166dc80ea.wav
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Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
audio_ratestringAudio sample rate
audio_channelstringAudio channel
languagestringThe language used in the audio.
speaker_countintThe number of speakers involved in the conversation in the audio.
environment_noisestringThe level of background noise present in the recording environment, such as none, low, medium, or high.
dialogue_typestringThe type of dialogue present in the audio, such as Q&A, discussion, or casual chat.
accentstringThe accent characteristics of the speakers in the audio.
emotion_detectedstringThe predominant emotion present in the audio, such as happy, angry, or neutral.
speech_intelligibilitystringThe clarity and intelligibility of speech in the audio, such as clear, average, or unclear.
turn_takingbooleanIndicates whether there is turn-taking between speakers in the audio.
speech_ratefloatThe average rate of speech for the speakers in the audio, measured in words per minute.
transcript_availablebooleanIndicates whether a transcript is available for the audio.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What field of research is this dataset suitable for?
The Reception Communication Speech Dialogue Dataset is suitable for research on intelligent voice analysis and human-computer interaction systems in general everyday scenarios.
What applications can the audio data in the dataset be used for?
The audio data in the dataset can be used for developing speech recognition, natural language processing, and enhancing the efficiency and accuracy of human-computer interaction.
How does this dataset help improve the performance of voice interaction systems?
This dataset contains a wealth of speech dialogue examples that provide diverse data for the training of voice interaction systems, helping to improve their responsiveness in various communication scenarios.
How to use this dataset for intelligent speech analysis?
By analyzing the speech dialogue patterns, word frequency, and pitch changes in the dataset, one can train intelligent speech analysis algorithms to enhance their capability to handle diverse speech.
What is the audio format of this dataset?
The audio format of the Reception Communication Speech Dialogue Dataset is typically in common digital audio formats for easy processing and analysis.

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Cite this Work

@dataset{Mobiusi2026,
  title={Reception Communication Process Speech Dialogue Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e15da0f9a7a52827ee89b3ea7c816f40?cate=1},
  urldate={2026-02-04},
  keywords={Speech Dialogue Dataset, Speech Recognition Training, Intelligent Customer Service Speech, Reception Communication Audio},
  version={1.0}
}

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