diff --git a/1000-hours/public/audios/us/serendipity-us-guy.mp3 b/1000-hours/public/audios/us/serendipity-us-guy.mp3 new file mode 100644 index 00000000..7adc0e18 Binary files /dev/null and b/1000-hours/public/audios/us/serendipity-us-guy.mp3 differ diff --git a/1000-hours/public/audios/us/serendipity-us-jen.mp3 b/1000-hours/public/audios/us/serendipity-us-jen.mp3 new file mode 100644 index 00000000..0bac1051 Binary files /dev/null and b/1000-hours/public/audios/us/serendipity-us-jen.mp3 differ diff --git a/1000-hours/public/images/Speech-Tract(zh-CN).svg b/1000-hours/public/images/Speech-Tract(zh-CN).svg new file mode 100644 index 00000000..5f96166f --- /dev/null +++ b/1000-hours/public/images/Speech-Tract(zh-CN).svg @@ -0,0 +1,67 @@ + + + Speech-Tract(zh-CN) + + + + + + + 舍背 + + + 舌尖 + + + + + + + + + + + + + + + + + 下巴 + + + + 牙齿 + + + 龈脊 + + + 上唇 + + + 下唇 + + + + + + + 声带 + + + + + + + + + + + + + 气流 + + + + \ No newline at end of file diff --git a/1000-hours/public/images/vowels-lip-shape.svg b/1000-hours/public/images/vowels-lip-shape.svg new file mode 100644 index 00000000..b10dd71b --- /dev/null +++ b/1000-hours/public/images/vowels-lip-shape.svg @@ -0,0 +1,26 @@ + + + vowels-lip-shape + + + ɔ + + + + ʊ + + + e + + + ɑ + + + ɪ + + + + + + + \ No newline at end of file diff --git a/1000-hours/public/jupyter-notebooks/serendipity-us-guy.mp3 b/1000-hours/public/jupyter-notebooks/serendipity-us-guy.mp3 new file mode 100644 index 00000000..7adc0e18 Binary files /dev/null and b/1000-hours/public/jupyter-notebooks/serendipity-us-guy.mp3 differ diff --git a/1000-hours/public/jupyter-notebooks/serendipity-us-jen.mp3 b/1000-hours/public/jupyter-notebooks/serendipity-us-jen.mp3 new file mode 100644 index 00000000..0bac1051 Binary files /dev/null and b/1000-hours/public/jupyter-notebooks/serendipity-us-jen.mp3 differ diff --git a/1000-hours/public/jupyter-notebooks/us_edge-tts-valcab-pronounciation.ipynb b/1000-hours/public/jupyter-notebooks/us_edge-tts-valcab-pronounciation.ipynb index 85ef432e..3144b956 100644 --- a/1000-hours/public/jupyter-notebooks/us_edge-tts-valcab-pronounciation.ipynb +++ b/1000-hours/public/jupyter-notebooks/us_edge-tts-valcab-pronounciation.ipynb @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "id": "9aad6634-e833-4ec4-b285-84e051329712", "metadata": {}, "outputs": [ @@ -39,6 +39,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "pygame 2.5.2 (SDL 2.28.3, Python 3.12.1)\n", + "Hello from the pygame community. https://www.pygame.org/contribute.html\n", "Files created!\n" ] } @@ -49,7 +51,7 @@ "import pygame\n", "\n", "TEXT = \"\"\"\n", - "Alpha,Bravo,Charlie,Delta,Echo,Foxtrot,Golf,Hotel,India,Juliet,Kilo,Lima,Mike,November,Oscar,Papa,Quebec,Romeo,Sierra,Tango,Uniform,Victor,Whiskey,X-ray,Yankee,Zulu\n", + "serendipity\n", "\"\"\"\n", "\n", "Wordlist = TEXT.split(\",\")\n", diff --git a/1000-hours/sounds-of-american-english/01.soae.md b/1000-hours/sounds-of-american-english/0-soae.md similarity index 91% rename from 1000-hours/sounds-of-american-english/01.soae.md rename to 1000-hours/sounds-of-american-english/0-soae.md index 19976d54..975b43f0 100644 --- a/1000-hours/sounds-of-american-english/01.soae.md +++ b/1000-hours/sounds-of-american-english/0-soae.md @@ -1,9 +1,7 @@ # 美式英语语音教程 -语音的基础内容事实上非常少。 - 自然语音中最基础的、不可分割的单位是**音素**(*phonemes*);音素构成**音节**(*syllables*);音节构成**词汇**(*words*);词汇构成**意群**(*thought groups*);意群构成**句子**(*sentences*);句子构成**语篇**(*discourse*)—— 而一方说出的语篇(无论长短、无论完整与否)要被对方听到并理解,这样才能启动**对话**(*dialogue*) 音素的准确与否,长期被认为是最重要的基础,甚至被认为是最关键的决定性因素。然而,在音素准确与否之上,更为重要的是说话的方式,即,语音的**韵律**(*prosody*)和**节奏**(*rhythm*)。所以,我们的教程将以**音节**为中心,主要关注**韵律**和**节奏** —— 当然,我们也只能从音素讲起。 -另外,这是一个**零基础教程**,所以,完全不用担心自己基础差。在教程里,我们从音素开始讲起,而音素,根据定义,就是自然语音的最基础内容 —— 实在不可能有什么比它更基础的了 —— 所以,在此之前不需要有任何预备知识。 \ No newline at end of file +另外,这是一个**零基础教程**,所以,完全不用担心自己基础差。在教程里,我们从音素开始讲起,而音素,根据定义,就是自然语音的最基础内容 —— 实在不可能有什么比它更基础的了 —— 所以,在此之前不需要有任何预备知识。 diff --git a/1000-hours/sounds-of-american-english/1.basics.md b/1000-hours/sounds-of-american-english/1-basics.md similarity index 96% rename from 1000-hours/sounds-of-american-english/1.basics.md rename to 1000-hours/sounds-of-american-english/1-basics.md index 69f80dae..52696383 100644 --- a/1000-hours/sounds-of-american-english/1.basics.md +++ b/1000-hours/sounds-of-american-english/1-basics.md @@ -6,7 +6,7 @@ The fundamentals of English pronunciation, in reality, are quite straightforward ## 1.1 字母表(Alphabets) -英语总计使用 26 个**字母**(*letters*),各有大小写之分。在欧洲语言之中,英语是罕见的不使用**修饰符**(*diacritics*)的文字 —— 所谓修饰符,指的是拉丁字母上附加的标记,用以区分发音或者意义,比如,*â*、*é*、*ç*,等等。 +英语总计使用 26 个**字母**(*letters*),各有大小写之分。在欧洲语言之中,英语是罕见的不使用**修饰符**(*diacritics*)的文字 —— 所谓修饰符,指的是字母上附加的标记,用以区分发音或者意义,比如,*â*、*é*、*ç*,等等。 Modern English is composed of *26* letters, each with both *uppercase* and *lowercase* forms. English stands out among European languages for not using [diacritics](https://en.wikipedia.org/wiki/Diacritic), which are special marks added to letters to alter their pronunciation or meaning, such as *â*, *é* or *ç*, etc. @@ -125,6 +125,6 @@ In general, there are the following few forms of syllable composition in English * `cvccc`: *text* `/tekst/` * `ccvccc`: *flexed* `/flekst/` -如果一个单词由多个音节构成的话,那么为了能够读得顺畅、清晰且易于识别,那么其中可能会有某个音节是**重音**;如果音节数量更多,可能还会有某个或某些音节是**次重音**。一般来说,**一个词汇只有一个重音**,**但有可能存在多个次重音**。比如 *serendipity* `/ˌserənˈdɪpɪti/`。之前的那个 *19* 个音节构成的词汇,其中有 *7* 个**次重音**,*1* 个**重音**。 +如果一个单词由多个音节构成的话,那么为了能够读得顺畅、清晰且易于识别,那么其中可能会有某个音节是**重音**;如果音节数量更多,可能还会有某个或某些音节是**次重音**。一般来说,**一个词汇只有一个重音**,**但有可能存在多个次重音**。比如 *serendipity* `/ˌserənˈdɪpɪti/`。之前的那个 *19* 个音节构成的词汇,其中有 *7* 个**次重音**,*1* 个**重音**。 -When a word is composed of multiple syllables, for smooth and clear pronunciation that's easily recognizable, one syllable may be stressed -- these are called *primary stresses*. If the word has many syllables, it could also have some *secondary stress*. Normally, **a single primary stress exists in each word**, **but there might be several secondary ones**. Take the word *serendipity* `/ˌserənˈdɪpɪti/` as an example, it follows this rule. That whopping 19-syllable-long leviathan we examined before had 7 instances of secondary stressing to accompany its lone instance of primary stressing. +When a word is composed of multiple syllables, for smooth and clear pronunciation that's easily recognizable, one syllable may be stressed -- these are called *primary stresses*. If the word has many syllables, it could also have some *secondary stress*. Normally, **a single primary stress exists in each word**, **but there might be several secondary ones** - take the word *serendipity* `/ˌserənˈdɪpɪti/`as an example. That whopping 19-syllable-long leviathan we examined before had 7 instances of secondary stressing to accompany its lone instance of primary stressing. diff --git a/1000-hours/sounds-of-american-english/2-vocal-tract.md b/1000-hours/sounds-of-american-english/2-vocal-tract.md new file mode 100644 index 00000000..5d5ed448 --- /dev/null +++ b/1000-hours/sounds-of-american-english/2-vocal-tract.md @@ -0,0 +1,15 @@ +# 2. 发声器官(Articulators) + +尽管说着不同的语言,人类的大脑构造和发声器官构造却都是一样的。也正因为如此,所有的人类幼崽都具备习得地球上任何一种语言的潜能 —— 这其实还真是一个颇有些惊人却又常常被忽视的事实。 + +Despite speaking different languages, humans share the same structure of brain and articulators. It's this commonality that grants every human infants the potential to master any language on Earth - a fascinating yet often overlooked fact. + +我们用**嘴**说话…… 更详细地讲,我们讲英文的时候所使用的**发声器官**主要包括:**下巴**(*lower jaw*)、**嘴唇**(*lips*)、**牙齿**(*teeth*)、**龈脊**(*alveolar ridge*)、**舌尖**(*tongue tip*)、**舍背**(*tongue roof*)、**咽**(*pharynx*)、**喉**(*larynx*)、**声带**(*vocal cords*)等等。 + +We use our *mouths* as a means of communication... To be more precise, when speaking English, key components of speech production include: *lower jaw* (or mandible), *lips*, *teeth*; *alveolar ridge* (the small bump right behind your upper front teeth); *tongue tip* and *rongue roof* or dorsum; and then throat areas which can be further divided into two parts: *pharynx* and *larynx*. Last but not least come your voice makers - *vocal cords.* + +![Speech Tract (zh-CN)](/images/Speech-Tract(zh-CN).svg) + +另外一个重要的方面是**呼吸**(*breathe*)—— 呼吸不仅影响声音,也影响节奏;因为换气的必要,自然语流中总是存在**停顿**(*pause*)。 + +The act of breathing also plays a vital role — it not only affects speech sound quality but rhythm too due to natural *pauses* for airflow regulation during continuous speech flow. diff --git a/1000-hours/sounds-of-american-english/3-details.md b/1000-hours/sounds-of-american-english/3-details.md new file mode 100644 index 00000000..b904edbc --- /dev/null +++ b/1000-hours/sounds-of-american-english/3-details.md @@ -0,0 +1,20 @@ +# 3. 音素详解 + +理论上来讲,把每个音素读准本身其实并不难;更何况每种语言都一样,从音素的数量上来看并不是很多,比如英语,总计就那么四十几个而已。 + +In theory, pronouncing each phoneme correctly isn't really a hard nut to crack; plus, like any other language, English doesn’t have that many of them—just over forty in total. + +主要的难点来自于两个方面。 + +However, there are two main challenges here. + +首先是在连贯的自然语音中,几乎每个音素都有这样那样的变化。于是,我们只能通过反复阅读材料,反复练习,反复自我纠正,将起初看起来极为繁杂的知识点逐一突破。 + +Firstly, almost every single phoneme morphs here and there within fluent speech. So what can one do? The key lies within *repetition* – repeatedly read materials aloud, corrected by self-monitoring your pronunciation, focusing on those pesky shifting details until they become conquered hurdles rather than intimidating obstacles. + +更大的困难来自于我们的大脑机制。随着年龄的增加,大脑会过滤母语中用不到的声音,以便提高语音识别的效率 —— 也恰恰是这一点造成了绝大多数成年人学外语的最大障碍。有些声音我们听不到、听不清楚,有些声音听到了却无法分辨,有些声音被我们自己在不知不觉中替换成了另外的样子…… 应对方式只有一个,集中注意力反复听,反复练 —— 注意力集中才是真正的关键。 + +An even greater challenge stems from how our brain functions over time: as we age, our minds begin filtering out unnecessary sounds not present in native tongues as noises to enhance linguistic efficiency - which happens also to be a major obstacle for most adults learning foreign languages as some sounds go unheard or indistinct while others get mistakenly replaced unconsciously... The only weapon at hand? Again, *repetition* - repeately listen and practice, with full *attention*, which is another indispensbile key. + + + diff --git a/1000-hours/sounds-of-american-english/4-vowels.md b/1000-hours/sounds-of-american-english/4-vowels.md new file mode 100644 index 00000000..3c44219b --- /dev/null +++ b/1000-hours/sounds-of-american-english/4-vowels.md @@ -0,0 +1,13 @@ +# 2.1 元音(Vowels) + +人类的语音在最底层是相通的 —— 最明显的例证就是所有的语言都一样,不仅都以元音为核心,并且,都有大致相同的基础元音音素,比如 `ɑ`、`i`、`ʊ`、`e`、`ɔ`…… 比如,日文就恰好只有这五个母音。英文还另外有一个 `ə`;而韩文比英文还要多出一个 `ɤ`(韩文字符为 `ᅳ`) —— 这个音中文也有,比如,在 “思念” 这个词中, “思”(`sī`)的韵母就是这个音。 + +元音发声时,气流从肺部通过声门冲击声带,使其均匀震动,而后通过起着共鸣器作用的口腔,无阻力地呼出。生成不同元音的主要器官是嘴唇,也是婴幼儿在学说话时所能观察到的唯一发声器官。 + +以下是 5 个英文基础元音发声时的口型(嘴唇形状): + +![Vowels lip shape](/images/vowels-lip-shape.svg) + +当然,除了嘴唇的形状之外,影响元音发声的器官还有舌面的位置、软腭的动作。不过,由于人类语言的相通属性,人们在这些基础元音的发声上都没有任何困难。 + +另外,英文的 `ə` 口型与 `ɪ` 接近。而 `æ` 的口型比 `e` 的大一点、比 `ɑ` 的小一点。 \ No newline at end of file diff --git a/1000-hours/sounds-of-english/04-vowel-positions.md b/1000-hours/sounds-of-english/04-vowel-positions.md index 51b3d886..3da5da35 100644 --- a/1000-hours/sounds-of-english/04-vowel-positions.md +++ b/1000-hours/sounds-of-english/04-vowel-positions.md @@ -1,4 +1,4 @@ -# 3.1 口腔内气流共鸣位置 +# 2.1.1. 口腔内气流共鸣位置 不同的元音在发声时,“口腔内气流共鸣位置” 不同(以下示意图中并未收录双元音)—— 这是 D.J. 音标的作者 Daniel Jones 的研究成果(插图参考 [Wikipedia](https://en.wikipedia.org/wiki/Vowel_diagram) 重新绘制):