Text to Speech with Emotions
Generate speech with genuine emotional expression — happy, sad, angry, excited, whispering, and more. Our AI models go beyond flat narration to deliver speech that conveys real feeling. Perfect for storytelling, gaming dialogue, marketing content, and any project where tone matters as much as words.
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Emotional TTS Features
AI voices that express genuine emotion and nuance
Margar tilfinningar
Generate speech with distinct emotional tones — happy, sad, angry, fearful, surprised, disgusted, and neutral. Each emotion changes pitch, pace, and tone.
Intensity Control
Adjust emotion intensity from subtle to dramatic. A slight smile in the voice or full joyful enthusiasm — fine-tune the emotional expression to match your content.
Natural Prosody
Emotions affect the entire speech pattern, not just tone. Sad speech is slower with falling intonation. Excited speech is faster with rising pitch. The prosody feels natural.
Whispering & Yelling
Beyond standard emotions, generate whispered speech for intimate or ASMR content, and emphatic delivery for dramatic moments and announcements.
Context-Aware Expression
Some models automatically detect emotional context from text. Questions get rising intonation, exclamations get emphasis, and lists get even pacing.
Fine-Grained Control
Advanced parameters let you control pitch range, speaking rate, energy level, and breathiness independently for custom emotional profiles beyond presets.
Best Models for Emotional Speech
Models that excel at conveying emotion and expressiveness
Chatterbox
Premium
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
Best fyrir: Best emotion control — adjustable emotion intensity with voice cloning
Reyndu Chatterbox
Bark
Standard
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
Best fyrir: Natural laughter, sighing, crying, and non-verbal emotional sounds
Reyndu Bark
Orpheus
Standard
Human-level emotional TTS model trained on 100K hours of speech data.
Best fyrir: Human-level emotional range trained on 100K hours of expressive speech
Reyndu Orpheus
Dia TTS
Standard
Multi-speaker dialog generation model that creates natural conversations between speakers.
Best fyrir: Emotional dialogue between characters with natural turn-taking
Reyndu Dia TTS
Parler TTS
Standard
Describe the voice you want in natural language and Parler generates matching speech.
Best fyrir: Describe emotional delivery in plain English for intuitive control
Reyndu Parler TTS
CosyVoice 2
Standard
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
Best fyrir: Fine-grained emotion control with streaming for real-time applications
Reyndu CosyVoice 2How to Generate Emotional Speech
Add emotion to AI speech in seconds
Write Your Text
Enter the text you want spoken emotionally. The content itself can influence emotional delivery — exclamations, questions, and dramatic text naturally guide expression.
Select an Emotion
Choose from happy, sad, angry, fearful, excited, whispering, or neutral. Some models offer additional emotions like sarcastic, tender, or authoritative.
Adjust Intensity
Fine-tune how strongly the emotion is expressed. Low intensity adds subtle coloring. High intensity produces dramatic, unmistakable emotional delivery.
Generate & Refine
Generate speech and listen. Adjust emotion type, intensity, or model until the delivery matches your vision. Download the final audio in MP3 or WAV.
Emotional TTS Model Capabilities
How different models handle emotional expression
Bark — Expressive & Sound Effects
Bark is uniquely capable of generating non-speech sounds alongside speech. Use text prompts like [laughs], [sighs], [gasps], or [clears throat] directly in your text to trigger emotional reactions. Bark can also sing, whisper, and produce speech with strong emotional inflection.
- Laughter: "Ha ha! That was hilarious! [laughs]"
- Sadness: "[sighs] I never thought it would end like this."
- Surprise: "[gasps] I can not believe it!"
- Singing: Musical tones and melody
Orpheus — Tilfinning Merkimiðar
Orpheus (built on Llama 3.2) supports explicit emotion control through tags. Wrap text in emotion markers to control the delivery: <happy>, <sad>, <angry>, <surprised>, <disgusted>. Mix emotions within a single generation for dynamic, shifting tone.
fyrir kát, bjartsýnn afhendingu fyrir melankólískan, drungalegan tón fyrir kröftuga, ákafa ræðu fyrir hneykslaður, undrandi viðbrögð
Dia — Multi-Speaker Dialogue
Dia specializes in conversational speech with two speakers. It naturally handles turn-taking, interruptions, and the emotional dynamics of real conversations. Great for generating dialogue scenes, interviews, or podcast-style content where emotional interplay matters.
- Natural conversational dynamics
- Two-speaker dialogue with distinct voices
- Emotional reactions between speakers
- Non-verbal sounds (laughter, hesitation)
Sesame CSM — Conversational Context
Sesame CSM (Conversational Speech Model) is designed to produce speech that sounds like natural conversation, not reading aloud. It handles the subtle emotional cues of real speech — pauses for thought, emphasis on key words, rising intonation for questions, and warmth in friendly contexts.
- Context-aware emotional delivery
- Natural conversational rhythm
- Appropriate emphasis and pacing
- Warm, human-like quality
When Emotion Matters
Use cases where emotional TTS makes a real difference
Game Dialogue
An NPC that sounds genuinely afraid, a villain with real menace, a companion with warmth. Emotional TTS makes game characters believable and immersive.
Audiobook Narration
A narrator that whispers during tense moments, shouts during action, and speaks softly during romantic scenes. Emotional range turns text into compelling audio stories.
Marketing & Ads
Excited voices for product launches, warm voices for testimonials, urgent voices for limited-time offers. The right emotion drives engagement and conversions.
Emotional Speech via API
Generate speech with explicit emotion control
import requests
# Bark supports inline emotion cues
emotions = {
"happy": "This is absolutely wonderful! [laughs] I love it!",
"sad": "[sighs] I wish things could have been different...",
"angry": "I told you not to do that! This is unacceptable!",
"whisper": "[whispers] Can you keep a secret?",
"excited": "Oh my gosh! [gasps] We won! We actually won!"
}
for emotion, text in emotions.items():
response = requests.post("https://api.tts.ai/v1/tts", json={
"text": text,
"model": "bark",
"voice": "v2/en_speaker_6",
"format": "wav"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
with open(f"emotion_{emotion}.wav", "wb") as f:
f.write(response.content)Emotional Voices at Every Tier
Even free models like Kokoro deliver natural emotional nuance from punctuation and context.
Free Tier
$0
50 credits on signup
- Kokoro context-aware emotion
- Natural prosody from punctuation
- Question and exclamation handling
Starter
$9
500 credits/month
- Bark with sound effects and laughter
- Orpheus emotion tags
- Dia conversational emotion
Pro
$29
2000 credits/month
- Sesame CSM conversational
- All expressive models
- Voice cloning with emotion
Algengar spurningar (FAQ)
Common questions about emotional text to speech
Give Your AI Voice Real Emotion
Happy, sad, angry, whispering — generate speech that truly conveys feeling. Try emotional TTS models free.