public SkillResponse Introduction(WordAttributes wordAttributes)
{
LOGGER.log.INFO("ShortVowels", "Introduction", "WORD: " + wordAttributes.Word);
string teachModel = "In the alphabet, there are two types of letters.";
string vowel = wordAttributes.Vowel;
string vowelSound = wordAttributes.VowelPhoneme;
teachModel += SSML.PauseFor(0.5);
teachModel += "Vowels and Consonants.";
teachModel += SSML.PauseFor(0.5);
teachModel += "Can you say Vowels?";
teachModel += SSML.PauseFor(0.5);
teachModel += "Can you say Consonants?";
teachModel += SSML.PauseFor(0.5);
teachModel += "Vowels are " + SSML.SayExtraSlow("a") + SSML.PauseFor(0.5) +
SSML.SayExtraSlow("e") + SSML.PauseFor(0.5) + SSML.SayExtraSlow("i") + SSML.PauseFor(0.5) +
SSML.SayExtraSlow("o") + SSML.PauseFor(0.5) + SSML.SayExtraSlow("u");
teachModel += SSML.PauseFor(0.5);
teachModel += " and sometimes y. ";
teachModel += " Right now we are going to work with the vowel " + vowel;
teachModel += SSML.PauseFor(1.5);
teachModel += " A short " + SSML.SpellOut(vowel) + " makes the sound " + SSML.SayExtraSlow(SSML.Phoneme(vowelSound)) + ".";
teachModel += SSML.PauseFor(1.0);
teachModel += " Are your ready to learn some words with " + vowel;
return(AlexaResponse.Introduction(teachModel, " Please say yes to continue or no to quit"));
}
private SkillResponse TeachTheWord(WordAttributes wordAttributes)
{
LOGGER.log.INFO("WordFamilies", "TeachTheWord", "WORD: " + wordAttributes.Word);
string[] decodedWord = wordAttributes.Word.Select(x => x.ToString()).ToArray();
string wordFamily = wordAttributes.WordFamily;
string teachModel = QuickReply;
teachModel += SSML.PauseFor(1);
teachModel += " This word is spelled ";
foreach (string sound in decodedWord)
{
teachModel += SSML.PauseFor(0.2) + SSML.SayExtraSlow(sound) + SSML.PauseFor(0.2);
}
teachModel += SSML.PauseFor(.5);
teachModel += "The sounds are ";
teachModel += SSML.PauseFor(0.2) + SSML.SayExtraSlow(SSML.Phoneme(decodedWord[0])) + SSML.PauseFor(0.2);
teachModel += SSML.PauseFor(0.2) + SSML.SayExtraSlow(wordFamily) + SSML.PauseFor(1.0);
teachModel += SSML.SayExtraSlow(wordAttributes.Word);
teachModel += SSML.PauseFor(0.5);
teachModel += "Now you try. Say the word. ";
return(AlexaResponse.TeachFlashCard(wordAttributes.Word, teachModel));
}
public SkillResponse TeachTheWord(WordAttributes wordAttributes)
{
LOGGER.log.INFO("ConsonantBlend", "TeachTheWord", "WORD: " + wordAttributes.Word);
string[] decodedWord = wordAttributes.Word.Select(x => x.ToString()).ToArray();
string vowelSound = wordAttributes.VowelPhoneme;
string teachModel = QuickReply;
teachModel += SSML.PauseFor(1);
teachModel += " The word is spelled ";
foreach (string sound in decodedWord)
{
teachModel += SSML.PauseFor(0.2) + SSML.SayExtraSlow(sound) + SSML.PauseFor(0.2);
}
teachModel += SSML.PauseFor(1.0);
teachModel += SSML.SayExtraSlow(wordAttributes.Word);
teachModel += SSML.PauseFor(0.5);
teachModel += "Now you try. Say the word ";
return(AlexaResponse.TeachFlashCard(wordAttributes.Word, teachModel));
}
public SkillResponse Introduction(WordAttributes wordAttributes)
{
LOGGER.log.INFO("LongVowels", "Introduction", "WORD: " + wordAttributes.Word);
string vowel = wordAttributes.Vowel;
string vowelSound = wordAttributes.VowelPhoneme;
string teachModel = "Not every letter in a word makes a sound. In the following words, the " + SSML.SpellOut("e") +
" is silent but " + SSML.Excited("bossy", "medium") + ". ";
teachModel += SSML.PauseFor(1);
teachModel += " This means the bossy " + SSML.SpellOut("e") + " makes the other vowel say its name.";
teachModel += SSML.PauseFor(1);
teachModel += "Right now we are going to work with the vowel " + vowel;
teachModel += SSML.PauseFor(1.5);
teachModel += " A long " + SSML.SpellOut(vowel) + " makes the sound " + SSML.SayExtraSlow(SSML.Phoneme(vowelSound)) + ".";
teachModel += SSML.PauseFor(1.0);
teachModel += " Are your ready to learn some words with " + vowel;
return(AlexaResponse.Introduction(teachModel, " Please say yes to continue or no to quit"));
}
public SkillResponse Introduction(WordAttributes wordAttributes)
{
LOGGER.log.INFO("ConsonantBlend", "Introduction", "WORD: " + wordAttributes.Word);
string[] cBLetters = wordAttributes.ConsonantBlend.Select(x => x.ToString()).ToArray();
string teachModel = "When consonants are stuck together and both make their sounds, we call that a consonant blend.";
teachModel += SSML.PauseFor(.5);
teachModel += "The letters still make their individual sounds.";
teachModel += SSML.PauseFor(1.5);
teachModel += "This blend is made up of these two letters:";
teachModel += SSML.SayExtraSlow(cBLetters[0]) + " and a " + SSML.SayExtraSlow(cBLetters[1]) + ".";
teachModel += SSML.PauseFor(1.5);
if (SSML.cbPhoneme.TryGetValue(wordAttributes.ConsonantBlend, out string cbp))
{
teachModel += " The sound they make is " + SSML.PauseFor(.5) + SSML.SayExtraSlow(SSML.Phoneme(cbp));
}
teachModel += SSML.PauseFor(1.5);
teachModel += " Are you ready to begin?";
return(AlexaResponse.Introduction(teachModel, " Please say yes to continue or no to quit"));
}
public SkillResponse TeachTheWord(WordAttributes wordAttributes)
{
LOGGER.log.INFO("LongVowels", "TeachTheWord", "WORD: " + wordAttributes.Word);
string[] decodedWord = wordAttributes.Word.Select(x => x.ToString()).ToArray();
string vowelSound = wordAttributes.VowelPhoneme;
string teachModel = QuickReply;
teachModel += SSML.PauseFor(1);
teachModel += " The word is spelled ";
teachModel += SSML.SpellOut(wordAttributes.Word);
teachModel += SSML.PauseFor(1);
teachModel += " Remember, the " + SSML.SpellOut("e") + " is silent and the " +
SSML.SpellOut(wordAttributes.Vowel) + " says its name. ";
teachModel += SSML.PauseFor(1.0);
teachModel += SSML.SayExtraSlow(wordAttributes.Word);
teachModel += SSML.PauseFor(0.5);
teachModel += "Now you try. Say the word ";
return(AlexaResponse.TeachFlashCard(wordAttributes.Word, teachModel));
}
public SkillResponse Introduction(WordAttributes wordAttributes)
{
LOGGER.log.INFO("ConsonantDigraph", "Introduction", "WORD: " + wordAttributes.Word);
string[] cdLetters = wordAttributes.ConsonantDigraph.Select(x => x.ToString()).ToArray();
string teachModel = "When two consonants work together to make one sound, this is called a digraph.";
teachModel += SSML.PauseFor(.5);
teachModel += "Can you say digraph?";
teachModel += SSML.PauseFor(1.5);
teachModel += "The digraph we are learning now is made up of these two letters:";
teachModel += SSML.PauseFor(1);
teachModel += SSML.SayExtraSlow(cdLetters[0]) + " and a " + SSML.SayExtraSlow(cdLetters[1]) + ".";
teachModel += SSML.PauseFor(1.5);
if (SSML.cdPhoneme.TryGetValue(wordAttributes.ConsonantDigraph, out string cdp))
{
teachModel += " The sound they make is " + SSML.PauseFor(.5) + SSML.SayExtraSlow(SSML.Phoneme(cdp));
}
teachModel += SSML.PauseFor(1.5);
teachModel += " Are you ready to begin?";
return(AlexaResponse.Introduction(teachModel, " Please say yes to continue or no to quit"));
}