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Home > Off-the-shelf Datasets > Speech Recognition Datasets > 50 Hours - English(the United States) Emotion Scripted Monologue Microphone speech dataset

50 Hours - English(the United States) Emotion Scripted Monologue Microphone speech dataset

English emotional audio data captured by microphone
emotional audio detection data
English emotional audio data

English(the United States) Emotion Scripted Monologue Microphone speech dataset, collected from monologue based on given scripts, covering 10 types of emotional scripts,such as anger, happiness, sadness, etc., matches real-world scenario. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(20 American native speakers), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
44.1kHz,16bit, uncompressed wav, mono channel;
Recording condition
Low background noise(indoor), without echo ;
Content category
10 types of emotional scripts;
Recording device
Hi-Fi microphone;
Speaker
20 American, 50% male and 50% female;
Country
the United States(USA);
Language(Region) Code
en-US;
Language
English;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    I am so happy{-laughter=mmm-} to hear that!

  • Audio

    I was overcome with joy{-laughter=haha-} when hearing the news.

  • Audio

    {-laughter=yeah-}I'm okay.

  • Audio

    This game is amazing.

  • Audio

    I was so happy{-laughter=aww-}to hear the good news.

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Emotional video multiple races multiple indoor scenes multiple age groups multiple languages multiple emotions 11 types of facial emotions 15 types of inner emotions feeling passion sentiment excitement sensation affection intensity ardor sensibility fervor vehemence love response warmth zeal emotional pathos agitation spirit affectivity enthusiasm fervency perturbation impression sympathy sadness sentimentality thrill eagerness poignancy commotion emotionalism fire soul animation emotionality responsiveness sensitiveness disturbance energy expression tenderness pitifulness plaintiveness poignance sentiments vibes anger empathy feelings
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