Multilingual speech dataset with urgency tone annotation

The following dataset is a collection of multilingual audio recordings in a controlled environment, divided according to the tone of urgency used in a hypothetical emergency scenario.
The dataset contains 200 audio files in 5 different languages: English, French, German, Italian, and Dutch. There are 40 audio files for each language, divided equally (20 and 20) between those labelled as urgent and those labelled as non-urgent. Urgent audio files are recordings of speech in simulated emergency situations in which the speaker adopts a tone defined as urgent. Non-urgent audio files are recordings of general content in which the speaker uses a neutral tone of voice. 
The English audio files are produced using artificial intelligence-based text-to-speech software. 
The remaining audio files for each language are recorded by the same person (i.e. 4 people), who are native speakers of the respective language. 

test_for_thresholds are the italian audio used to set the prosodic thresholds between urgent and not_urgent. 
noisy_audio are the original 200 recordings augmented by applying five degradation conditions: additive white Gaussian noise at 5, 15, and 30 dB Signal-to-Noise Ratio (SNR), environmental background noise, and room impulse response reverberation

All audio files are provided in uncompressed WAV format with the following characteristics:

• Codec : pcm_s16le
• Sample rate: 48 kHZ
• Channels: 2 (stereo)

Structure of the dataset:

dataset:
    data:
         languages:
              urgent:
                   audio_xx_urgent.wav
                   transcription_language.txt
              not_urgent:
                   audio_xx_not_urgent.wav
                   transcription_language.txt

    test_for_thresholds:
              xu.wav

    noisy_audio:
               languages:
                    urgent:
                          urgent_AWGN_5
                          urgent_AWGN_15
                          urgent_AWGN_30
                          urgent_ENV
                          urgent_RIR
                          Transcription_xx_xx.txt
                    not_urgent:
                          urgent_AWGN_5
                          urgent_AWGN_15
                          urgent_AWGN_30
                          urgent_ENV
                          urgent_RIR
                          Transcription_xx_xx.txt