online-decodable.h
2.25 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
// online/online-decodable.h
// Copyright 2012 Cisco Systems (author: Matthias Paulik)
// Modifications to the original contribution by Cisco Systems made by:
// Vassil Panayotov,
// Johns Hopkins University (author: Daniel Povey)
// See ../../COPYING 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
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#ifndef KALDI_ONLINE_ONLINE_DECODABLE_H_
#define KALDI_ONLINE_ONLINE_DECODABLE_H_
#include "online/online-feat-input.h"
#include "gmm/decodable-am-diag-gmm.h"
namespace kaldi {
// A decodable, taking input from an OnlineFeatureInput object on-demand
class OnlineDecodableDiagGmmScaled : public DecodableInterface {
public:
OnlineDecodableDiagGmmScaled(const AmDiagGmm &am,
const TransitionModel &trans_model,
const BaseFloat scale,
OnlineFeatureMatrix *input_feats);
/// Returns the log likelihood, which will be negated in the decoder.
virtual BaseFloat LogLikelihood(int32 frame, int32 index);
virtual bool IsLastFrame(int32 frame) const;
/// Indices are one-based! This is for compatibility with OpenFst.
virtual int32 NumIndices() const { return trans_model_.NumTransitionIds(); }
private:
void CacheFrame(int32 frame);
OnlineFeatureMatrix *features_;
const AmDiagGmm &ac_model_;
BaseFloat ac_scale_;
const TransitionModel &trans_model_;
const int32 feat_dim_; // dimensionality of the input features
Vector<BaseFloat> cur_feats_;
int32 cur_frame_;
std::vector<std::pair<int32, BaseFloat> > cache_;
KALDI_DISALLOW_COPY_AND_ASSIGN(OnlineDecodableDiagGmmScaled);
};
} // namespace kaldi
#endif // KALDI_ONLINE_ONLINE_DECODABLE_H_