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

Multiple Emotions

مختلف جذباتي آوازوں کے ساتھ بولي بنا ئيں خوش ، غمگين ، غصہ ، خوف ، تعجب ، غصہ اور غير جانبدار ہر احساس پيچ ، رفتار اور آواز ميں تبديلي لا تا هے

شدت کا کنٹرول

جذبات کي شدت کو خفيه سے دراماتي تک ترتيب ديں آواز ميں خفيه مسکرا يا پورا خوشگوار جوش - احساساتي اظہار کو آپ کے مواد سے ملانے کے ليے دقيق ترتيب ديں

نيچرل پراسوڈی

احساسات کل بولنے کے نمونے کو متاثر کر تے هيں ، صرف آواز کو نهيں غمگين بولنا کمي آواز کے ساتھ سست ہو جاتا هے ، پرجوش بولنا بلند آواز کے ساتھ تيز ہو جاتا هے

خفیہ آواز اور چیخنا

معیاری جذبات سے باہر، باہمی یا ASMR مواد کے لئے خفیہ گفتگو پیدا کریں، اور ڈرامائی لمحوں اور اعلانات کے لئے زبردست پیشکش۔

متن سے واقف اظہار

بعض ماڈل خودکار طور پر متن سے جذباتي سياق کو تلاش کر تے هيں سوالات کي بلند آواز ميں تبديلي آ تا هے ، آوازوں پر زور ميں آتا هے اور فہرستوں ميں تيزي ميں تبديلي آ تا هے

فائن- گرينڈ کنٹرول

توسيع شدہ پارامٹر آپ کو پيٹ رينج ، بولنے کا ريٹ ، توانائي سطح ، اور ذاتي احساساتي پروفا ئل کے ليے مستقل طور پر کنٹرول کر نے کي اجازت ديتے هيں

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 آواز کا کلوننگ

بہترین: Best emotion control — adjustable emotion intensity with voice cloning

کوشش کریں Chatterbox

BarkBark

Standard

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

Slow 4/5

بہترین: فطری ہنسی، سانس، رونا، اور غیر لفظی جذباتی آوازیں

کوشش کریں Bark

OrpheusOrpheus

Standard

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

Medium 5/5

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

کوشش کریں Orpheus

Dia TTSDia TTS

Standard

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

Medium 5/5

بہترین: Emotional dialogue between characters with natural turn-taking

کوشش کریں Dia TTS

Parler TTSParler TTS

Standard

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

Medium 4/5

بہترین: Describe emotional delivery in plain English for intuitive control

کوشش کریں Parler TTS

CosyVoice 2CosyVoice 2

Standard

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

Medium 5/5 آواز کا کلوننگ

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

کوشش کریں 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

Orpheus - احساسي علامات

Orpheus (Llama 3.2 پر بنا يا جا تا هے) تگز کے ذریعے واضح جذبات کو کنٹرول کر نے کي مدد کر تا هے تبليغ کو کنٹرول کر نے کے ليے احساسات کے نشانوں ميں متن لپيٹ کريں: < خوشي>، <غم>، <غصہ>، <تعجب>، <خجالت> متحرک ، بدلتے ہوئے طنين کے ليے ایک نسل ميں جذبات ميکس کريں

  • خوش آمدید، خوش آمدید، خوش آمدید
  • melancholic کے ليے، غمگين آواز
  • طاقتور، شدید بولنے کے لئے
  • شگفتہ، حیرت انگیز ردعمل کے لئے

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

بار بار پوچھے گئے سوالات

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.

صحیح ماڈل کے ساتھ بہت قدرتی. Orpheus کو 100K گھنٹوں کے اظہاری بولنے پر تربیت دی گئی اور انسانی سطح پر جذباتی اظہار حاصل کرتا ہے. Chatterbox قانع کرنے والی جذباتی فراہمی پیدا کرتا ہے کہ سننے والے اکثر انسانی ریکارڈنگ سے فرق نہیں کر سکتے.

ہاں Chatterbox اور CosyVoice 2 مسلسل شدت سلائيڈرز پيش کريں. احساس کو 20% پر مقرر کريں لطيف رنگ کے ليے يا 100% پر دراماتک اظہار کے ليے یہ granularity آپ کو آپ کے مواد کي ضرورت کے مطابق دقيق احساساتي آواز ميں ملا نے کي اجازت ديتا هے

معياري احساسات ميں خوشي ، غم ، غصہ ، خوف ، تعجب ، غصہ اور غير جانبدار شامل هے بعض ماڈل چپکے چپکے ، چیخ کر کے ، مزاحيه ، نرم ، بااختیار اور پرجوش شامل کر تے هيں Parler آپ کو فطري زبان ميں هر احساس کي صفت بيان کر نے کے ليے اجازت ديتا هے

ہاں دو حروف کے احساساتي گفتگو کے ليے Dia TTS استعمال کريں يا مختلف احساساتي سيٹنگز کے ليے هر حروف کو جدا جدا پيدا کريں dramatically غنی گفتگو کے ليے ایک حروف کو خوشي اور دوسرے کو نا اميدي مقرر کريں

یقینا۔ جذباتی TTS صاف بیان کو دلچسپ کہانی سنانے میں تبدیل کرتا ہے۔ منظر کے تناظر میں جذبات کو جوڑتا ہے۔ تناؤ والے حصوں کو خوفناک پیشکش ملتی ہے۔ خوشگوار اختتام کو گرم خوشی ملتی ہے۔ ڈرامائی لمحوں کو شدت ملتی ہے۔ یہ سننے والوں کی سرگرمی میں اہم طور پر بہتری لاتا ہے۔

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.