Neon City ad spot with music and voiceover
This is 90% music
77%
speech
| Timestamp | Music | Speech |
|---|---|---|
| 0.00s – 1.15s |
95.6%
|
7.9%
|
| 1.15s – 2.11s |
94.6%
|
3.2%
|
| 2.11s – 3.07s |
91.4%
|
2.1%
|
| 3.07s – 4.03s |
84.7%
|
1.6%
|
| 4.03s – 5.18s |
79.3%
|
99%
|
| 5.18s – 6.14s |
79.8%
|
99.9%
|
| 6.14s – 7.10s |
80.3%
|
97.5%
|
| 7.10s – 8.06s |
82.7%
|
100%
|
| 8.06s – 9.02s |
83.1%
|
90.4%
|
| 9.02s – 10.18s |
78.2%
|
98.2%
|
| 10.18s – 11.14s |
74.6%
|
99.6%
|
| 11.14s – 12.10s |
76.1%
|
95.3%
|
| 12.10s – 13.06s |
81.4%
|
71.8%
|
| 13.06s – 14.02s |
86%
|
33.5%
|
| 14.02s – 15.17s |
90.2%
|
12.4%
|
| 15.17s – 16.13s |
92.7%
|
6.1%
|
Raw JSON
{ "deepfake_score": 0.9788, "utterances": [ { "utterance_uid": "ec69b9e7-8fac-4b3e-a4da-ea9773d56aed", "text": "Track package.", "start_ms": 91620, "duration_ms": 960, "speaker": 2, "language": "en", "emotion": "Excited", "accent": "American", "deepfake_score": 1.1000000000000001 }, { "utterance_uid": "4003b94d-b15d-46b1-9276-80366dc178fc", "text": "Thank you. Did you say you'd like to place an order?", "start_ms": 3000, "duration_ms": 3800, "speaker": 1, "language": "en", "emotion": "Interested", "accent": "American", "deepfake_score": 0.9723 }, { "utterance_uid": "a1c82f3d-09e2-4f7a-b831-22de94a05c61", "text": "I need to check on my delivery, it's been two weeks.", "start_ms": 8200, "duration_ms": 4100, "speaker": 2, "language": "en", "emotion": "Frustrated", "accent": "American", "deepfake_score": 0.1042 }, { "utterance_uid": "7fd301ea-c44b-48d2-a96e-5b3c71d0f882", "text": "I understand your frustration. Let me pull up your order right now.", "start_ms": 12400, "duration_ms": 3600, "speaker": 1, "language": "en", "emotion": "Calm", "accent": "American", "deepfake_score": 0.9812 } ] }
General Statistics
- Speakers
- 2
- Languages
- en
- Deepfake analyzed
- 17 / 19 utterances
- Avg deepfake score
- 0.6368
- Max deepfake score
- 0.9810
Audio
- File Name
- AIAgentFrustration.mp3
- File Size
- 1.87 MB
- File Type
- audio/mpeg
- Audio Duration
- 1m 37.3s
Request
- HTTP
- 200 OK
- Endpoint
- /api/velma-2-stt-batch
- Response Size
- 5.8 KB
Performance
- Processing Time
- 2.66s
- Processing Factor
- 36.6x real-time