Add online LSTM transducer model (#25)

This commit is contained in:
Fangjun Kuang
2023-02-18 21:35:15 +08:00
committed by GitHub
parent b2d96c1d9a
commit cb8f85ff83
28 changed files with 1315 additions and 984 deletions

View File

@@ -1,27 +1,13 @@
/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// sherpa/csrc/decode.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_DECODE_H_
#define SHERPA_ONNX_CSRC_DECODE_H_
#include <vector>
#include "sherpa-onnx/csrc/rnnt-model.h"
#include "sherpa-onnx/csrc/online-transducer-model.h"
namespace sherpa_onnx {
@@ -32,8 +18,8 @@ namespace sherpa_onnx {
* @param model The RnntModel
* @param encoder_out Its shape is (1, num_frames, encoder_out_dim).
*/
std::vector<int32_t> GreedySearch(RnntModel &model, // NOLINT
const Ort::Value &encoder_out);
void GreedySearch(OnlineTransducerModel *model, Ort::Value encoder_out,
std::vector<int64_t> *hyp);
} // namespace sherpa_onnx