Hui Zhang zh794390558

Ossian初探

本文先完全按照官方教程跑通一个合成流程，然后尝试在中文上进行合成。

安装

虽然官方提供了一键安装方法：./scripts/setup_tools.sh $HTK_USERNAME $HTK_PASSWORD，但在我们的尝试中，未能成功。

以下是Debug过程

直接运行出现的错误为:

Merlin for Chinese

用于中文语音合成的Merlin。本文，主要利用Merlin，合成中文语音。

数据准备

为了测试方法是否可行，我们仅使用100条数据。待确认可行，再使用完整数据。

由于缺少中文前端，我们仅使用音素。

声学特征提取

本文介绍如何提取提取声学特征用于Merlin训练。在语音合成中，属于声码器(vocoder)的内容。

Merlin可以使用两种vocoder，STRAIGHT或WORLD。WORLD的目标是提取60-dim MGC, variable-dim BAP (BAP dim: 1 for 16Khz, 5 for 48Khz), 1-dim LF0；STRAIGHT的目标是提取60-dim MGC, 25-dim BAP, 1-dim LF0。

新版本的WORLD_v2还在开发中，目标是提取60-dim MGC, 5-dim BAP, 1-dim LF0(MGC和BAP的维度支持微调)。

由于STRAIGHT的使用有严格的证书限制，本文，主要介绍WORLD。

	#include <cassert>
	#include <cstddef>
	#include <cstdint>
	#include <iomanip>
	#include <iostream>
	#include <random>
	#include <stdexcept>
	#include <vector>

	#define BLOCK_DIM 32

	"""
	author: Timothy C. Arlen
	date: 28 Feb 2018

	Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
	image Ids. Usage:

	> python calculate_mean_ap.py

	Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output

	"""
	Author: Awni Hannun

	This is an example CTC decoder written in Python. The code is
	intended to be a simple example and is not designed to be
	especially efficient.

	The algorithm is a prefix beam search for a model trained
	with the CTC loss function.

	# based on https://github.com/google/seq2seq/blob/master/bin/tools/generate_beam_viz.py

	# extracts probabilities and sequences from .npz file generated during beam search.
	# and pickles a list of the length n_samples that has beam_width most probable tuples
	# (path, logprob, prob)
	# where probs are scaled to 1.

	import numpy as np
	import networkx as nx
	import pickle

	development:
	adapter: mysql2
	encoding: utf8
	database: my_database
	username: root
	password:
	apt:
	- somepackage
	- anotherpackage

	// A simple quickref for Eigen. Add anything that's missing.
	// Main author: Keir Mierle

	#include <Eigen/Dense>

	Matrix<double, 3, 3> A; // Fixed rows and cols. Same as Matrix3d.
	Matrix<double, 3, Dynamic> B; // Fixed rows, dynamic cols.
	Matrix<double, Dynamic, Dynamic> C; // Full dynamic. Same as MatrixXd.
	Matrix<double, 3, 3, RowMajor> E; // Row major; default is column-major.
	Matrix3f P, Q, R; // 3x3 float matrix.