Begin to support CTC models (#119)

Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.
This commit is contained in:
Fangjun Kuang
2023-04-07 23:11:34 +08:00
committed by GitHub
parent 9ac747248b
commit 80060c276d
40 changed files with 1244 additions and 60 deletions

View File

@@ -172,12 +172,14 @@ def main():
print("-" * 10)
elapsed_seconds = end_time - start_time
rtf = elapsed_seconds / duration
rtf = elapsed_seconds / total_duration
print(f"num_threads: {args.num_threads}")
print(f"decoding_method: {args.decoding_method}")
print(f"Wave duration: {duration:.3f} s")
print(f"Wave duration: {total_duration:.3f} s")
print(f"Elapsed time: {elapsed_seconds:.3f} s")
print(f"Real time factor (RTF): {elapsed_seconds:.3f}/{duration:.3f} = {rtf:.3f}")
print(
f"Real time factor (RTF): {elapsed_seconds:.3f}/{total_duration:.3f} = {rtf:.3f}"
)
if __name__ == "__main__":