Anger
Source: kartoffelphon (CC-BY-4.0) · de/real · chosen for high existing Anger score (z=3.16); existing burst marker present. This was selection metadata, never sent to Gemini.
German · German with non-native/English-influenced accent
S1: Unfall, dass der S2: Okay. S1: der Schulter wird ausgekoppelt, ja, S2: Ja. S1: und dann die die Nerven, die da damit ähm in der Schulter sind, ausgerissen. Das ist typisch. Die anderen Art, die viel häufiger ist, ist diabetische Neuropathien. So viele Leute haben diabetisches Schmerz, und das ist oft ein Schmerz und die sind alle
A conversational clip featuring a dominant masculine-coded speaker in the mature adult age bracket explaining medical conditions in German, with a brief, quiet interlocutor providing backchannel acknowledgments. The primary speaker demonstrates an accent indicative of non-native German, likely English-influenced, while delivering technical information with an authoritative and didactic tone. Resonance is balanced across chest and oral cavities with a comfortable baritone register. Timbre exhibits moderate warmth and natural harmonicity with minimal roughness. The delivery is spontaneous and fluid despite brief formulation pauses and minor grammatical searching. Articulation is clear and well-projected, maintaining an engaging, listener-oriented posture throughout. Emotionally, the tone is composed, objective, and intellectually engaged, devoid of overt emotional polarity. Recording quality is clear with mild room ambience and minimal background interference, capturing a completely genuine, unscripted explanatory exchange without isolated vocal bursts.
S1 begins with an explanatory, didactic cadence in a mature baritone register, setting up a clinical scenario: "Unfall, dass der". S2 provides a quiet, polite backchannel acknowledgement: "Okay." S1 continues immediately with steady pacing and natural hand gestures implied by the forward oral focus: "der Schulter wird ausgekoppelt, ja," paused briefly as S2 confirms with a low, supportive "Ja." S1 then resumes, navigating a momentary cognitive formulation pause with an organic filler before detailing the anatomy: "und dann die die Nerven, die da damit ähm in der Schulter sind, ausgerissen." Conclude that thought with matter-of-fact certainty, slightly dropping pitch: "Das ist typisch." Transition smoothly into a comparative point, perking up with renewed pedagogical focus: "Die anderen Art, die viel häufiger ist, ist diabetische Neuropathien." Maintain an informative, authoritative conversational rhythm, emphasizing key terms clearly: "So viele Leute haben diabetisches Schmerz, und das ist oft ein Schmerz und die sind alle" before trailing off naturally as thought develops.
Event captions and top-3 Whisper classes
- Existing S10 marker · Start: 0.04 s · End: 0.30 s
- Existing S10 marker · Start: 5.52 s · End: 5.86 s
- Base proposals: Start: 0.02 s · End: 0.24 s: Ahem 0.74, Low Mumble 0.11, Chuckle 0.06; Start: 5.50 s · End: 5.92 s: Low Mumble 0.81, Ahem 0.11, Nervous Giggle 0.01
- Small proposals: Start: 0.02 s · End: 0.24 s: Ahem 0.77, Chuckle 0.16, Low Mumble 0.01; Start: 5.50 s · End: 5.90 s: Low Mumble 0.88, Ahem 0.05, Spitting 0.01
All 40 EmoNet emotions: raw scores
| Dimension | Gemini | Existing S10 teacher | Whisper Base S10 | Whisper Small S10 |
|---|---|---|---|---|
| affectionvn_AFFECTION_reg | — | — | — | — |
| amusementvn_AMUSEMENT_reg | — | — | — | — |
| angervn_ANGER_reg | — | — | — | — |
| astonishment surprisevn_ASTONISHMENT_SURPRISE_reg | — | — | — | — |
| awevn_AWE_reg | — | — | — | — |
| bitternessvn_BITTERNESS_reg | — | — | — | — |
| concentrationvn_CONCENTRATION_reg | — | — | — | — |
| confusionvn_CONFUSION_reg | — | — | — | — |
| contemplationvn_CONTEMPLATION_reg | — | — | — | — |
| contemptvn_CONTEMPT_reg | — | — | — | — |
| contentmentvn_CONTENTMENT_reg | — | — | — | — |
| disappointmentvn_DISAPPOINTMENT_reg | — | — | — | — |
| disgustvn_DISGUST_reg | — | — | — | — |
| distressvn_DISTRESS_reg | — | — | — | — |
| doubtvn_DOUBT_reg | — | — | — | — |
| elationvn_ELATION_reg | — | — | — | — |
| embarrassmentvn_EMBARRASSMENT_reg | — | — | — | — |
| emotional numbnessvn_EMOTIONAL_NUMBNESS_reg | — | — | — | — |
| fatigue exhaustionvn_FATIGUE_EXHAUSTION_reg | — | — | — | — |
| fearvn_FEAR_reg | — | — | — | — |
| gratitudevn_GRATITUDE_reg | — | — | — | — |
| helplessnessvn_HELPLESSNESS_reg | — | — | — | — |
| hope optimismvn_HOPE_OPTIMISM_reg | — | — | — | — |
| impatience irritabilityvn_IMPATIENCE_IRRITABILITY_reg | — | — | — | — |
| infatuationvn_INFATUATION_reg | — | — | — | — |
| interestvn_INTEREST_reg | — | — | — | — |
| intoxication altered statesvn_INTOXICATION_ALTERED_STATES_reg | — | — | — | — |
| jealousy envyvn_JEALOUSY_ENVY_reg | — | — | — | — |
| longingvn_LONGING_reg | — | — | — | — |
| malevolence malicevn_MALEVOLENCE_MALICE_reg | — | — | — | — |
| painvn_PAIN_reg | — | — | — | — |
| pleasure ecstasyvn_PLEASURE_ECSTASY_reg | — | — | — | — |
| pridevn_PRIDE_reg | — | — | — | — |
| reliefvn_RELIEF_reg | — | — | — | — |
| sadnessvn_SADNESS_reg | — | — | — | — |
| sexual lustvn_SEXUAL_LUST_reg | — | — | — | — |
| shamevn_SHAME_reg | — | — | — | — |
| sournessvn_SOURNESS_reg | — | — | — | — |
| teasingvn_TEASING_reg | — | — | — | — |
| triumphvn_TRIUMPH_reg | — | — | — | — |
All 57 VoiceNet dimensions: raw scores
| Dimension | Gemini | Existing S10 teacher | Whisper Base S10 | Whisper Small S10 |
|---|---|---|---|---|
| gendvn_GEND_reg | ||||
| agevvn_AGEV_reg | ||||
| focsvn_FOCS_reg | ||||
| harmvn_HARM_reg | ||||
| r oralvn_R_ORAL_reg | ||||
| s authvn_S_AUTH_reg | ||||
| s convvn_S_CONV_reg | ||||
| s techvn_S_TECH_reg | ||||
| stncvn_STNC_reg | ||||
| arouvn_AROU_reg | ||||
| arshvn_ARSH_reg | ||||
| atckvn_ATCK_reg | ||||
| bkgnvn_BKGN_reg | ||||
| brgtvn_BRGT_reg | ||||
| chnkvn_CHNK_reg | ||||
| clrtvn_CLRT_reg | ||||
| coglvn_COGL_reg | ||||
| darcvn_DARC_reg | ||||
| dfluvn_DFLU_reg | ||||
| emphvn_EMPH_reg | ||||
| esthvn_ESTH_reg | ||||
| fullvn_FULL_reg | ||||
| r chstvn_R_CHST_reg | ||||
| r maskvn_R_MASK_reg | ||||
| r mixdvn_R_MIXD_reg | ||||
| r thrtvn_R_THRT_reg | ||||
| rangvn_RANG_reg | ||||
| rcqlvn_RCQL_reg | ||||
| s casuvn_S_CASU_reg | ||||
| s formvn_S_FORM_reg | ||||
| smthvn_SMTH_reg | ||||
| struvn_STRU_reg | ||||
| tempvn_TEMP_reg | ||||
| valnvn_VALN_reg | ||||
| valsvn_VALS_reg | ||||
| vflxvn_VFLX_reg | ||||
| warmvn_WARM_reg | ||||
| metlvn_METL_reg | ||||
| r headvn_R_HEAD_reg | ||||
| r naslvn_R_NASL_reg | ||||
| respvn_RESP_reg | ||||
| rougvn_ROUG_reg | ||||
| s narrvn_S_NARR_reg | ||||
| s stryvn_S_STRY_reg | ||||
| tensvn_TENS_reg | ||||
| voltvn_VOLT_reg | ||||
| vulnvn_VULN_reg | ||||
| regsvn_REGS_reg | ||||
| s dramvn_S_DRAM_reg | ||||
| s monovn_S_MONO_reg | ||||
| s newsvn_S_NEWS_reg | ||||
| s playvn_S_PLAY_reg | ||||
| explvn_EXPL_reg | ||||
| s asmrvn_S_ASMR_reg | ||||
| s cartvn_S_CART_reg | ||||
| s rantvn_S_RANT_reg | ||||
| s whisvn_S_WHIS_reg |
Other trained outputs: AudioBox, DNSMOS, quality, VoiceCLAP attributes
| Score | Base S10 | Small S10 |
|---|---|---|
| eiv_extra:Age | 3.26 | 3.27 |
| eiv_extra:Arousal | 1.90 | 1.91 |
| eiv_extra:Authenticity | 2.87 | 2.81 |
| eiv_extra:Background_Noise | 0.82 | 0.88 |
| eiv_extra:Confident_vs._Hesitant | 1.11 | 1.17 |
| eiv_extra:Gender | -0.95 | -1.01 |
| eiv_extra:High-Pitched_vs._Low-Pitched | 2.10 | 2.05 |
| eiv_extra:Monotone_vs._Expressive | 2.43 | 2.36 |
| eiv_extra:Recording_Quality | 2.40 | 2.40 |
| eiv_extra:Serious_vs._Humorous | 1.00 | 0.88 |
| eiv_extra:Soft_vs._Harsh | -0.04 | -0.05 |
| eiv_extra:Submissive_vs._Dominant | 0.76 | 0.74 |
| eiv_extra:Valence | -0.09 | -0.26 |
| eiv_extra:Vulnerable_vs._Emotionally_Detached | 1.90 | 1.95 |
| eiv_extra:Warm_vs._Cold | -0.17 | -0.21 |
| eiv_extra:score_background_quality | 3.40 | 3.46 |
| eiv_extra:score_content_enjoyment | 4.67 | 4.77 |
| eiv_extra:score_overall_quality | 2.84 | 2.96 |
| eiv_extra:score_speech_quality | 1.69 | 1.71 |
| audiobox:CE | 5.00 | 5.27 |
| audiobox:CU | 5.23 | 5.64 |
| audiobox:PC | 2.12 | 2.09 |
| audiobox:PQ | 6.79 | 6.89 |
| dnsmos:SIG_raw | 4.09 | 4.08 |
| dnsmos:BAK_raw | 3.46 | 3.76 |
| dnsmos:OVRL_raw | 3.40 | 3.57 |
| dnsmos:SIG | 3.60 | 3.59 |
| dnsmos:BAK | 3.46 | 3.72 |
| dnsmos:OVRL | 3.03 | 3.15 |
| dnsmos:P808_MOS | 4.01 | 4.07 |
| voiceclap_attribute:Affection | 0.30 | 0.15 |
| voiceclap_attribute:Age | 3.20 | 3.28 |
| voiceclap_attribute:Amusement | 0.33 | 0.29 |
| voiceclap_attribute:Anger | 0.59 | 0.64 |
| voiceclap_attribute:Arousal | 1.70 | 1.59 |
| voiceclap_attribute:Astonishment_Surprise | 0.26 | 0.34 |
| voiceclap_attribute:Authenticity | 2.83 | 2.82 |
| voiceclap_attribute:Awe | 0.35 | 0.32 |
| voiceclap_attribute:Background_Noise | 0.58 | 0.52 |
| voiceclap_attribute:Bitterness | 0.57 | 0.54 |
| voiceclap_attribute:Concentration | 2.14 | 2.05 |
| voiceclap_attribute:Confident_vs._Hesitant | 1.30 | 1.32 |
| voiceclap_attribute:Confusion | 0.27 | 0.36 |
| voiceclap_attribute:Contemplation | 1.26 | 1.26 |
| voiceclap_attribute:Contempt | 0.69 | 0.64 |
| voiceclap_attribute:Contentment | 0.49 | 0.48 |
| voiceclap_attribute:Disappointment | 0.69 | 0.69 |
| voiceclap_attribute:Disgust | 0.48 | 0.49 |
| voiceclap_attribute:Distress | 0.45 | 0.41 |
| voiceclap_attribute:Doubt | 0.51 | 0.52 |
| voiceclap_attribute:Elation | 0.82 | 0.69 |
| voiceclap_attribute:Embarrassment | 0.07 | 0.01 |
| voiceclap_attribute:Emotional_Numbness | 0.48 | 0.64 |
| voiceclap_attribute:Fatigue_Exhaustion | 0.06 | 0.06 |
| voiceclap_attribute:Fear | 0.50 | 0.43 |
| voiceclap_attribute:Gender | -1.12 | -0.96 |
| voiceclap_attribute:Helplessness | 0.26 | 0.19 |
| voiceclap_attribute:High-Pitched_vs._Low-Pitched | 2.18 | 2.11 |
| voiceclap_attribute:Hope_Enthusiasm_Optimism | 1.15 | 1.11 |
| voiceclap_attribute:Impatience_and_Irritability | 0.63 | 0.60 |
| voiceclap_attribute:Infatuation | -0.15 | -0.15 |
| voiceclap_attribute:Interest | 2.79 | 2.66 |
| voiceclap_attribute:Intoxication_Altered_States_of_Consciousness | -0.25 | -0.17 |
| voiceclap_attribute:Jealousy_&_Envy | 0.23 | 0.33 |
| voiceclap_attribute:Longing | 0.20 | 0.19 |
| voiceclap_attribute:Malevolence_Malice | 0.47 | 0.50 |
| voiceclap_attribute:Monotone_vs._Expressive | 2.32 | 2.08 |
| voiceclap_attribute:Pain | -0.03 | -0.04 |
| voiceclap_attribute:Pleasure_Ecstasy | 0.26 | 0.17 |
| voiceclap_attribute:Pride | 0.83 | 0.78 |
| voiceclap_attribute:Recording_Quality | 2.61 | 2.76 |
| voiceclap_attribute:Relief | 0.47 | 0.49 |
| voiceclap_attribute:Sadness | 0.35 | 0.33 |
| voiceclap_attribute:Serious_vs._Humorous | 1.19 | 0.99 |
| voiceclap_attribute:Sexual_Lust | -0.13 | -0.02 |
| voiceclap_attribute:Shame | 0.26 | 0.23 |
| voiceclap_attribute:Soft_vs._Harsh | 0.13 | 0.08 |
| voiceclap_attribute:Sourness | 0.45 | 0.55 |
| voiceclap_attribute:Submissive_vs._Dominant | 0.78 | 0.70 |
| voiceclap_attribute:Teasing | 0.22 | 0.32 |
| voiceclap_attribute:Thankfulness_Gratitude | 0.97 | 0.82 |
| voiceclap_attribute:Triumph | 0.63 | 0.62 |
| voiceclap_attribute:Valence | 0.53 | 0.31 |
| voiceclap_attribute:Vulnerable_vs._Emotionally_Detached | 1.98 | 2.16 |
| voiceclap_attribute:Warm_vs._Cold | 0.19 | 0.03 |
| voiceclap_attribute:duration | 18.51 | 18.51 |
| voiceclap_attribute:score_background_quality | 3.29 | 3.42 |
| voiceclap_attribute:score_content_enjoyment | 4.92 | 4.96 |
| voiceclap_attribute:score_overall_quality | 2.83 | 2.79 |
| voiceclap_attribute:score_speech_quality | 1.85 | 1.84 |
| voiceclap_attribute:talking_speed | 15.11 | 14.35 |
Reproducibility and API usage
Dataset UID: tr00083_002503
Audio SHA-256: 8a8e3d79b582ebe367c1f39cace5a4e29fed36263d33c2b14fe9515b097a8dff
Gemini call: 6.60 s; input tokens 25571; cached tokens 25085; output tokens 1522.