Spaces:
Running
Running
Hervé BREDIN
commited on
Commit
·
d5cb6ac
1
Parent(s):
192e41d
doc: update link to assets
Browse files
README.md
CHANGED
|
@@ -7,7 +7,8 @@ sdk: static
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
-

|
|
|
|
| 11 |
|
| 12 |
## 💚 Simply detect, segment, label, and separate speakers in any language
|
| 13 |
|
|
@@ -16,7 +17,7 @@ pinned: false
|
|
| 16 |
|
| 17 |
### 🎤 What is speaker diarization?
|
| 18 |
|
| 19 |
-

|
| 20 |
|
| 21 |
**Speaker diarization** is the process of automatically partitioning the audio recording of a conversation into segments and labeling them by speaker, answering the question **"who spoke when?"**. As the **foundational layer of conversational AI**, speaker diarization provides high-level insights for human-human and human-machine conversations, and unlocks a wide range of downstream applications: meeting transcription, call center analytics, voice agents, video dubbing.
|
| 22 |
|
|
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
+

|
| 11 |
+
|
| 12 |
|
| 13 |
## 💚 Simply detect, segment, label, and separate speakers in any language
|
| 14 |
|
|
|
|
| 17 |
|
| 18 |
### 🎤 What is speaker diarization?
|
| 19 |
|
| 20 |
+

|
| 21 |
|
| 22 |
**Speaker diarization** is the process of automatically partitioning the audio recording of a conversation into segments and labeling them by speaker, answering the question **"who spoke when?"**. As the **foundational layer of conversational AI**, speaker diarization provides high-level insights for human-human and human-machine conversations, and unlocks a wide range of downstream applications: meeting transcription, call center analytics, voice agents, video dubbing.
|
| 23 |
|