Add C++ runtime for non-streaming faster conformer transducer from NeMo. (#854)
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@@ -11,6 +11,7 @@
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#include <vector>
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#include "sherpa-onnx/csrc/context-graph.h"
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#include "sherpa-onnx/csrc/features.h"
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#include "sherpa-onnx/csrc/parse-options.h"
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namespace sherpa_onnx {
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@@ -32,46 +33,12 @@ struct OfflineRecognitionResult {
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std::string AsJsonString() const;
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};
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struct OfflineFeatureExtractorConfig {
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// Sampling rate used by the feature extractor. If it is different from
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// the sampling rate of the input waveform, we will do resampling inside.
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int32_t sampling_rate = 16000;
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// Feature dimension
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int32_t feature_dim = 80;
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// Set internally by some models, e.g., paraformer and wenet CTC models set
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// it to false.
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// This parameter is not exposed to users from the commandline
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// If true, the feature extractor expects inputs to be normalized to
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// the range [-1, 1].
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// If false, we will multiply the inputs by 32768
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bool normalize_samples = true;
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// For models from NeMo
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// This option is not exposed and is set internally when loading models.
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// Possible values:
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// - per_feature
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// - all_features (not implemented yet)
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// - fixed_mean (not implemented)
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// - fixed_std (not implemented)
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// - or just leave it to empty
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// See
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// https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/parts/preprocessing/features.py#L59
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// for details
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std::string nemo_normalize_type;
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std::string ToString() const;
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void Register(ParseOptions *po);
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};
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struct WhisperTag {};
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struct CEDTag {};
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class OfflineStream {
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public:
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explicit OfflineStream(const OfflineFeatureExtractorConfig &config = {},
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explicit OfflineStream(const FeatureExtractorConfig &config = {},
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ContextGraphPtr context_graph = {});
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explicit OfflineStream(WhisperTag tag);
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