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.

Happy Sad Angry Excited Whisper

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Emotional TTS Features

AI voices that express genuine emotion and nuance

Якчанд мавзӯъҳо

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

ChatterboxChatterbox

Premium

State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.

Medium 5/5 Тасвири овоз

Беҳтарин барои: Best emotion control — adjustable emotion intensity with voice cloning

Кӯшиш кунед Chatterbox

BarkBark

Standard

Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.

Slow 4/5

Беҳтарин барои: Natural laughter, sighing, crying, and non-verbal emotional sounds

Кӯшиш кунед Bark

OrpheusOrpheus

Standard

Human-level emotional TTS model trained on 100K hours of speech data.

Medium 5/5

Беҳтарин барои: Human-level emotional range trained on 100K hours of expressive speech

Кӯшиш кунед Orpheus

Dia TTSDia TTS

Standard

Multi-speaker dialog generation model that creates natural conversations between speakers.

Medium 5/5

Беҳтарин барои: Emotional dialogue between characters with natural turn-taking

Кӯшиш кунед Dia TTS

Parler TTSParler TTS

Standard

Describe the voice you want in natural language and Parler generates matching speech.

Medium 4/5

Беҳтарин барои: Describe emotional delivery in plain English for intuitive control

Кӯшиш кунед Parler TTS

CosyVoice 2CosyVoice 2

Standard

Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.

Medium 5/5 Тасвири овоз

Беҳтарин барои: Fine-grained emotion control with streaming for real-time applications

Кӯшиш кунед CosyVoice 2

How to Generate Emotional Speech

Add emotion to AI speech in seconds

1

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.

2

Select an Emotion

Choose from happy, sad, angry, fearful, excited, whispering, or neutral. Some models offer additional emotions like sarcastic, tender, or authoritative.

3

Adjust Intensity

Fine-tune how strongly the emotion is expressed. Low intensity adds subtle coloring. High intensity produces dramatic, unmistakable emotional delivery.

4

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

Орфей - Ишораҳои эмотсионалӣ

Orpheus (бо Llama 3.2 сохта шудааст) назорати эмотсионалии ошкороро тавассути тегҳо дастгирӣ мекунад. Матнро дар нишонаҳои эмотсионалӣ барои идоракунии интиқол: <хушбахт>, <ғамгин>, <ғазабнок>, <тааҷҷубовар>, <нороҳат>. Эмотсионалҳоро дар як насл барои динамикӣ, тағйир додани садо омехта кунед.

  • барои фиристодани хушҳол, хушҳол
  • < sad > барои оҳанги ғамгин, ғамгин
  • < angry > барои суханронии шиддатнок, шиддатнок
  • барои вокунишҳои шоду ҳайрон

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

Python — Emotional TTS with Bark REST API
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
View Full Pricing

Саволҳои пурсидашаванда

Common questions about emotional text to speech

Chatterbox, Bark, Orpheus, Dia, Parler, CosyVoice 2, and IndexTTS-2 all support emotional expression. Chatterbox offers the most fine-grained intensity control. Bark produces the most natural non-verbal sounds like laughter and sighing.

Models use emotion embeddings or conditioning signals to modify the generated speech. These affect pitch contour, speaking rate, energy levels, and voice quality. The result is speech that naturally conveys the specified emotion rather than just reading text flatly.

Yes. Bark and Chatterbox support whispering. Bark generates whispered speech from text cues like "[whispers]" in the input. Chatterbox allows direct whisper control through its emotion parameters. The whispered output sounds natural and intimate.

Yes. Bark is the best model for non-verbal vocalizations. It can generate natural-sounding laughter, crying, sighing, gasping, and other sounds by including cues in the text. These sounds integrate seamlessly with spoken words.

Орфей дар 100K соати суханронии ифодакунанда омӯзонида шуд ва ба ифодаи эҳсосоти дараҷаи инсонӣ мерасад. Chatterbox ифодаи эҳсосоти боваринокро истеҳсол мекунад, ки шунавандагон аксар вақт аз сабтҳои инсонӣ фарқ карда наметавонанд.

Yes. Chatterbox and CosyVoice 2 offer continuous intensity sliders. Set emotion to 20% for subtle coloring or 100% for dramatic expression. This granularity lets you match the exact emotional tone your content requires.

Standard emotions include happy, sad, angry, fearful, surprised, disgusted, and neutral. Some models add whispering, yelling, sarcastic, tender, authoritative, and excited. Parler lets you describe any emotional quality in natural language.

Yes. Use Dia TTS for two-character emotional dialogue, or generate each character separately with different emotion settings. Assign joy to one character and frustration to another for dramatically rich conversations.

Absolutely. Emotional TTS transforms flat narration into engaging storytelling. Match emotion to scene context — tense passages get fearful delivery, happy endings get warm joy, dramatic moments get intensity. It significantly improves listener engagement.

Yes. CosyVoice 2 and Sesame CSM are designed for conversational AI with appropriate emotional responses. A voice assistant that responds empathetically to user frustration or enthusiastically to good news creates a better user experience.

Yes. Emotions naturally modify multiple speech parameters. Happy speech tends to be faster with higher pitch. Sad speech is slower with lower pitch. Angry speech has increased energy and intensity. These changes mirror how humans naturally express emotions.

Most models apply one emotion per generation. For mixed emotions, generate segments separately with different emotional settings and concatenate them. For example, start a sentence neutrally and end it angrily by splitting into two generations.
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Give Your AI Voice Real Emotion

Happy, sad, angry, whispering — generate speech that truly conveys feeling. Try emotional TTS models free.