Update README.md
Browse files
README.md
CHANGED
|
@@ -1,8 +1,11 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
| 4 |
-
-
|
| 5 |
-
-
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
# Hojo-ASR-Multi-V1
|
| 8 |
|
|
@@ -12,7 +15,7 @@ language:
|
|
| 12 |
|
| 13 |
Hojo‑ASR‑Multi‑V1 is a high‑performance conversational speech recognition model built upon the Qwen3 LLM decoder. It adopts the classic Encoder‑Adapter‑LLM architecture with a customized multi‑frame acoustic fusion structure, making full use of fine‑grained acoustic features and the powerful semantic capabilities of the large language model.
|
| 14 |
|
| 15 |
-
Optimized via multi‑stage modular training and reinforcement learning, the model performs well in complex real‑world scenarios such as noisy conditions, informal pronunciation
|
| 16 |
|
| 17 |
|
| 18 |
## Quickstart
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
| 4 |
+
- de
|
| 5 |
+
- fr
|
| 6 |
+
- it
|
| 7 |
+
- pt
|
| 8 |
+
- es
|
| 9 |
---
|
| 10 |
# Hojo-ASR-Multi-V1
|
| 11 |
|
|
|
|
| 15 |
|
| 16 |
Hojo‑ASR‑Multi‑V1 is a high‑performance conversational speech recognition model built upon the Qwen3 LLM decoder. It adopts the classic Encoder‑Adapter‑LLM architecture with a customized multi‑frame acoustic fusion structure, making full use of fine‑grained acoustic features and the powerful semantic capabilities of the large language model.
|
| 17 |
|
| 18 |
+
Optimized via multi‑stage modular training and reinforcement learning, the model performs well in complex real‑world scenarios such as noisy conditions, informal pronunciation and oral correction. Building on its recognition capabilities, the model further expands its full‑coverage multilingual recognition capacity, fully supporting major languages including German, French, Spanish, Portuguese, Japanese, Italian, Arabic, Korean and Russian.
|
| 19 |
|
| 20 |
|
| 21 |
## Quickstart
|