feat: add link to Premium form
Browse files
README.md
CHANGED
@@ -11,7 +11,7 @@ pinned: false
|
|
11 |
|
12 |
Pretrained pipelines reach state-of-the-art performance on most academic benchmarks and are used [in production by dozens of companies](https://herve.niderb.fr/consulting.html).
|
13 |
|
14 |
-
| Benchmark | v1.1 | [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) | [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) |
|
15 |
| ---------------------- | ---- | ------ | ------ | --------- |
|
16 |
| AISHELL-4 | - | 14.1 | 12.2 | 11.9 |
|
17 |
| AliMeeting (channel 1) | - | 27.4 | 24.4 | 22.5 |
|
@@ -27,4 +27,4 @@ Pretrained pipelines reach state-of-the-art performance on most academic benchma
|
|
27 |
Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
|
28 |
* [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
|
29 |
* [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) takes around 1m20s to process 1h of audio
|
30 |
-
*
|
|
|
11 |
|
12 |
Pretrained pipelines reach state-of-the-art performance on most academic benchmarks and are used [in production by dozens of companies](https://herve.niderb.fr/consulting.html).
|
13 |
|
14 |
+
| Benchmark | v1.1 | [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) | [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) | [Premium](https://forms.gle/eKhn7H2zTa68sMMx8) |
|
15 |
| ---------------------- | ---- | ------ | ------ | --------- |
|
16 |
| AISHELL-4 | - | 14.1 | 12.2 | 11.9 |
|
17 |
| AliMeeting (channel 1) | - | 27.4 | 24.4 | 22.5 |
|
|
|
27 |
Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
|
28 |
* [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
|
29 |
* [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) takes around 1m20s to process 1h of audio
|
30 |
+
* [Premium](https://forms.gle/eKhn7H2zTa68sMMx8) takes less than 1m00s to process 1h of audio
|