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

83 lines
2.3 KiB
C++

#pragma once
#include "engine/framework/assets/resource_bundle.h"
#include "engine/framework/tokenizers/sentencepiece.h"
#include <cstdint>
#include <filesystem>
#include <memory>
#include <string>
#include <vector>
namespace engine::models::hviske_asr {
struct HviskeFrontendConfig {
int64_t sample_rate = 16000;
int64_t features = 128;
int64_t n_fft = 512;
int64_t win_length = 400;
int64_t hop_length = 160;
int64_t pad_to = 16;
float dither = 1.0e-5f;
float preemph = 0.97f;
float log_zero_guard = 1.0f / 16777216.0f;
};
struct HviskeConformerConfig {
int64_t feat_in = 128;
int64_t hidden_size = 1280;
int64_t intermediate_size = 5120;
int64_t layers = 48;
int64_t heads = 8;
int64_t conv_kernel = 9;
int64_t subsampling_conv_channels = 256;
int64_t subsampling_factor = 8;
int64_t pos_emb_max_len = 5000;
};
struct HviskeDecoderConfig {
int64_t vocab_size = 16384;
int64_t hidden_size = 1024;
int64_t intermediate_size = 4096;
int64_t layers = 8;
int64_t heads = 8;
int64_t max_sequence_length = 1024;
int64_t pad_token_id = 2;
int64_t eos_token_id = 3;
int64_t bos_token_id = 4;
int64_t decoder_start_token_id = 13764;
int64_t max_new_tokens = 256;
bool output_log_probs = true;
};
struct HviskeConfig {
std::string model_type;
std::string variant;
int64_t max_audio_clip_seconds = 35;
int64_t overlap_chunk_seconds = 5;
int64_t min_energy_window_samples = 1600;
std::vector<std::string> supported_languages;
HviskeFrontendConfig frontend;
HviskeConformerConfig encoder;
HviskeDecoderConfig decoder;
};
struct HviskeASRAssets {
engine::assets::ResourceBundle resources;
HviskeConfig config;
std::vector<engine::tokenizers::SentencePiecePiece> tokenizer_pieces;
std::shared_ptr<const engine::assets::TensorSource> model_weights;
};
std::shared_ptr<const HviskeASRAssets> load_hviske_asr_assets(const std::filesystem::path & model_path);
std::vector<int32_t> tokenize_hviske_prompt(
const HviskeASRAssets & assets,
const std::string & language,
bool punctuation);
std::string decode_hviske_tokens(
const HviskeASRAssets & assets,
const std::vector<int32_t> & token_ids);
} // namespace engine::models::hviske_asr