EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
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Begin to support CTC models (#119)

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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
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9
sherpa-onnx/python/csrc/sherpa-onnx.cc
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@@ -7,16 +7,13 @@
#include "sherpa-onnx/python/csrc/display.h"
#include "sherpa-onnx/python/csrc/endpoint.h"
#include "sherpa-onnx/python/csrc/features.h"
#include "sherpa-onnx/python/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-recognizer.h"
#include "sherpa-onnx/python/csrc/offline-stream.h"
#include "sherpa-onnx/python/csrc/online-recognizer.h"
#include "sherpa-onnx/python/csrc/online-stream.h"
#include "sherpa-onnx/python/csrc/online-transducer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-recognizer.h"
#include "sherpa-onnx/python/csrc/offline-stream.h"
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
namespace sherpa_onnx {
PYBIND11_MODULE(_sherpa_onnx, m) {