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48 lines
1.5 KiB
48 lines
1.5 KiB
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "base/basic_types.h"
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#include "matrix/kaldi-vector.h"
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namespace ppspeech {
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class FrontendInterface {
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public:
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// Feed inputs: features(2D saved in 1D) or waveforms(1D).
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virtual void Accept(const std::vector<float>& inputs) = 0;
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// Fetch processed data: features or waveforms.
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// For features(2D saved in 1D), the Matrix is squashed into Vector,
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// the length of output = feature_row * feature_dim.
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// For waveforms(1D), samples saved in vector.
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virtual bool Read(std::vector<float>* outputs) = 0;
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// Dim is the feature dim. For waveforms(1D), Dim is zero; else is specific,
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// e.g 80 for fbank.
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virtual size_t Dim() const = 0;
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// End Flag for Streaming Data.
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virtual void SetFinished() = 0;
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// whether is end of Streaming Data.
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virtual bool IsFinished() const = 0;
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// Reset to start state.
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virtual void Reset() = 0;
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};
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} // namespace ppspeech
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