voice_audio_multi/include/engine/models/vevo2/components.h
Fabio c36510c21e
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

99 lines
3.5 KiB
C++

#pragma once
#include "engine/models/vevo2/assets.h"
#include "engine/models/vevo2/types.h"
#include <cstddef>
#include <cstdint>
#include <memory>
#include <vector>
namespace engine::assets {
enum class TensorStorageType;
}
namespace engine::core {
class ExecutionContext;
}
namespace engine::models::vevo2 {
struct Vevo2CocoTokenizerWeights;
struct Vevo2CocoTokenizerGraph;
class Vevo2CocoProsodyTokenizerRuntime final {
public:
Vevo2CocoProsodyTokenizerRuntime(
const Vevo2Assets & assets,
engine::core::ExecutionContext & execution_context,
size_t weight_context_bytes,
size_t graph_context_bytes,
engine::assets::TensorStorageType matmul_weight_storage_type,
engine::assets::TensorStorageType conv_weight_storage_type);
~Vevo2CocoProsodyTokenizerRuntime();
Vevo2TokenSequence encode(
const runtime::AudioBuffer & prosody_audio,
const std::optional<runtime::AudioBuffer> & style_ref_audio,
const Vevo2GenerationOptions & generation) const;
Vevo2TokenSequence encode_chromagram_features(
const std::vector<float> & chromagram_features,
int64_t feature_frames) const;
private:
Vevo2CocoTokenizerGraph & ensure_graph(int64_t feature_frames, bool uses_whisper) const;
Vevo2CocoTokenizerConfig config_;
engine::core::ExecutionContext & execution_context_;
size_t graph_context_bytes_ = 0;
std::shared_ptr<const engine::assets::TensorSource> weight_source_;
std::shared_ptr<const Vevo2CocoTokenizerWeights> weights_;
mutable std::unique_ptr<Vevo2CocoTokenizerGraph> graph_;
std::string name_;
};
class Vevo2CocoContentStyleTokenizerRuntime final {
public:
Vevo2CocoContentStyleTokenizerRuntime(
const Vevo2Assets & assets,
engine::core::ExecutionContext & execution_context,
size_t weight_context_bytes,
size_t graph_context_bytes,
engine::assets::TensorStorageType matmul_weight_storage_type,
engine::assets::TensorStorageType conv_weight_storage_type);
~Vevo2CocoContentStyleTokenizerRuntime();
Vevo2TokenSequence encode_style_reference(
const std::optional<runtime::AudioBuffer> & style_ref_audio,
const std::optional<std::vector<float>> & whisper_features,
int64_t feature_frames,
const Vevo2GenerationOptions & generation) const;
Vevo2TokenSequence encode_timbre_reference(
const runtime::AudioBuffer & timbre_ref_audio,
const std::vector<float> & whisper_features,
int64_t feature_frames) const;
Vevo2TokenSequence encode_feature_frames(
const std::vector<float> & whisper_features,
const std::vector<float> & chromagram_features,
int64_t feature_frames) const;
Vevo2TokenSequence encode_shifted_reference(
const runtime::AudioBuffer & audio,
const std::vector<float> & whisper_features,
int64_t feature_frames,
int pitch_shift_steps) const;
private:
Vevo2CocoTokenizerGraph & ensure_graph(int64_t feature_frames, bool uses_whisper) const;
Vevo2CocoTokenizerConfig config_;
engine::core::ExecutionContext & execution_context_;
size_t graph_context_bytes_ = 0;
std::shared_ptr<const engine::assets::TensorSource> weight_source_;
std::shared_ptr<const Vevo2CocoTokenizerWeights> weights_;
mutable std::unique_ptr<Vevo2CocoTokenizerGraph> graph_;
std::vector<float> whisper_mean_;
std::vector<float> whisper_std_;
std::string name_;
};
} // namespace engine::models::vevo2