Text-to-speech generation in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Text-to-Speech (TTS) generation?

Text-to-Speech generation is a technology that converts written text into spoken voice. It helps computers talk to us in a natural way.

beginner

Name two main parts of a typical Text-to-Speech system.

The two main parts are: 1) Text analysis, which breaks down and understands the text, and 2) Speech synthesis, which creates the actual sound from the text.

intermediate

What is the role of a neural network in modern TTS systems?

Neural networks learn patterns of human speech from data and generate natural-sounding voices by predicting audio waveforms or spectrograms from text.

intermediate

Why is prosody important in Text-to-Speech generation?

Prosody includes rhythm, stress, and intonation in speech. It makes the generated voice sound natural and expressive instead of flat and robotic.

intermediate

What metric can be used to evaluate the quality of TTS output?

Mean Opinion Score (MOS) is often used. It asks human listeners to rate how natural and clear the speech sounds on a scale, usually from 1 to 5.

What does Text-to-Speech generation do?

A Translates text between languages

B Converts text into spoken voice

C Converts speech into text

D Generates images from text

Text-to-Speech generation turns written text into spoken words.

Which part of a TTS system creates the sound from text?

A Speech synthesis

B Language translation

C Data collection

D Text analysis

Speech synthesis is the part that generates audio from the processed text.

Why do modern TTS systems use neural networks?

A To learn speech patterns and generate natural voices

B To store large text files

C To translate languages

D To compress audio files

Neural networks help TTS systems produce more natural and human-like speech.

What does prosody affect in TTS output?

A The spelling of words

B The speed of text processing

C The size of the audio file

D The naturalness and expressiveness of speech

Prosody controls rhythm, stress, and intonation, making speech sound natural.

What is Mean Opinion Score (MOS) used for in TTS?

A Measuring text length

B Counting words in text

C Rating speech quality by human listeners

D Measuring audio file size

MOS collects human ratings to judge how natural and clear TTS speech sounds.

Explain how a Text-to-Speech system converts text into natural-sounding speech.

Think about how the system understands text and then creates voice.

Describe why prosody is important in making TTS voices sound human.

Consider how people speak with emotion and flow.

Practice

1. What is the main purpose of text-to-speech (TTS) technology?

easy

A. To summarize long documents automatically

B. To translate text from one language to another

C. To detect emotions in spoken language

D. To convert written text into spoken audio

Solution

1. Step 1: Understand the function of TTS

   Text-to-speech technology changes written words into sound that can be heard.

2. Step 2: Compare options with TTS purpose

   Only To convert written text into spoken audio describes converting text to speech, which matches TTS.

3. Final Answer:

   To convert written text into spoken audio -> Option D

4. Quick Check:

   TTS = convert text to speech [OK]

Hint: Remember TTS means text becomes speech [OK]

Common Mistakes:

• Confusing TTS with translation
• Thinking TTS summarizes text
• Mixing TTS with emotion detection

2. Which Python library is commonly used for simple text-to-speech conversion?

easy

A. Pandas

B. gTTS

C. Matplotlib

D. NumPy

Solution

1. Step 1: Identify libraries related to TTS

   gTTS is a Python library designed for text-to-speech conversion.

2. Step 2: Eliminate unrelated libraries

   NumPy, Matplotlib, and Pandas are for math, plotting, and data, not TTS.

3. Final Answer:

   gTTS -> Option B

4. Quick Check:

   gTTS = text-to-speech library [OK]

Hint: gTTS stands for Google Text-to-Speech [OK]

Common Mistakes:

• Choosing data or plotting libraries by mistake
• Confusing gTTS with general Python packages
• Assuming TTS needs complex libraries always

3. What will the following Python code output?

from gtts import gTTS
text = 'Hello world'
tts = gTTS(text)
tts.save('hello.mp3')
print('Audio saved')

medium

A. An audio file named 'hello.mp3' is created and 'Audio saved' is printed

B. The text 'Hello world' is printed on screen

C. A syntax error occurs due to missing language parameter

D. Nothing happens because gTTS requires internet connection

Solution

1. Step 1: Analyze the code steps

   The code imports gTTS, creates speech from 'Hello world', saves it as 'hello.mp3', then prints a message.

2. Step 2: Check for errors or missing parts

   gTTS defaults to English if no language is given, so no syntax error occurs. Internet is needed but code runs assuming connection.

3. Final Answer:

   An audio file named 'hello.mp3' is created and 'Audio saved' is printed -> Option A

4. Quick Check:

   Code saves audio and prints message [OK]

Hint: gTTS saves audio file and prints confirmation [OK]

Common Mistakes:

• Thinking language parameter is mandatory
• Assuming print outputs the text spoken
• Ignoring that gTTS needs internet but code runs

4. Identify the error in this text-to-speech code snippet:

from gtts import gTTS
tts = gTTS('Hello')
tts.save()

medium

A. Missing filename argument in save() method

B. gTTS requires language parameter in constructor

C. Text argument should be a list, not a string

D. gTTS cannot be imported directly

Solution

1. Step 1: Check gTTS usage

   gTTS constructor accepts text string; language is optional. So no error there.

2. Step 2: Check save() method

   save() requires a filename string argument to save the audio file. Missing argument causes error.

3. Final Answer:

   Missing filename argument in save() method -> Option A

4. Quick Check:

   save() needs filename [OK]

Hint: save() always needs a filename string [OK]

Common Mistakes:

• Assuming language is always required
• Thinking text must be a list
• Believing import statement is wrong

5. You want to create a text-to-speech system that can speak multiple languages based on user input. Which approach is best?

hard

A. Use gTTS without language parameter and rely on default English

B. Manually translate text first, then use gTTS with fixed language

C. Use gTTS with a dynamic language parameter set from user input

D. Use a single pre-recorded audio file for all languages

Solution

1. Step 1: Understand multilingual TTS needs

   The system must speak different languages based on user choice, so language must be flexible.

2. Step 2: Evaluate options for language flexibility

   Use gTTS with a dynamic language parameter set from user input sets language dynamically in gTTS, allowing correct speech for each language. Others fix language or use static audio, which won't adapt.

3. Final Answer:

   Use gTTS with a dynamic language parameter set from user input -> Option C

4. Quick Check:

   Dynamic language parameter enables multilingual TTS [OK]

Hint: Set language parameter dynamically for multilingual speech [OK]

Common Mistakes:

• Ignoring language parameter flexibility
• Assuming default English works for all
• Using static audio files for dynamic text