Automatic Speech Recognition
ESPnet
multilingual
audio
phone-recognition
grapheme-to-phoneme
phoneme-to-grapheme
Instructions to use espnet/powsm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/powsm with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/powsm" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
add model files
Browse files- README.md +0 -0
- data/token_list/bpe_unigram40000/bpe.model +3 -0
- exp/s2t_train_s2t_ebf_conv2d_size768_e9_d9_piecewise_lr5e-4_warmup60k_flashattn_raw_bpe40000/config.yaml +0 -0
- exp/s2t_train_s2t_ebf_conv2d_size768_e9_d9_piecewise_lr5e-4_warmup60k_flashattn_raw_bpe40000/valid.acc.ave_5best.till45epoch.pth +3 -0
README.md
ADDED
|
File without changes
|
data/token_list/bpe_unigram40000/bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b9a8b76353430d41a1b8f7f2ec0f40fa8c4e75567eaef6887bdbb893c55236a
|
| 3 |
+
size 967858
|
exp/s2t_train_s2t_ebf_conv2d_size768_e9_d9_piecewise_lr5e-4_warmup60k_flashattn_raw_bpe40000/config.yaml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
exp/s2t_train_s2t_ebf_conv2d_size768_e9_d9_piecewise_lr5e-4_warmup60k_flashattn_raw_bpe40000/valid.acc.ave_5best.till45epoch.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a91a03bcfd59a956319939891c4098e8f7e8c9ea568d7ec2bcbc1131b32d1197
|
| 3 |
+
size 1374692510
|