Démarrage rapide

Ce guide couvre toutes les fonctionnalités de Hume AI :
- Commencer — Create your account and grab an API key
- Comment utiliser Octave TTS — Prompt-driven text to speech that reads meaning, not just words
- Comment utiliser l'interface vocale empathique (EVI) — Real time conversational agents that respond with human-like empathy
- Comment utiliser l'API de mesure d'expression — Track 25+ emotions from vocal tone and facial expression
- Comment utiliser la voix conversationnelle — Low-latency speech for agents that need to answer instantly
- Comment utiliser TTS Creator Studio — A project script editor for multi-character audio
- How to Use Empathic AI Models — Models that adapt tone based on detected human emotions
- Comment utiliser une voix personnalisée — Clone or design a voice from a five-second recording
- Comment utiliser l'analyse multimodale — Read voice, face, and text signals together in one job
Temps nécessaire : 5 minutes par fonctionnalité
Vous trouverez également dans ce guide : Conseils de pro | Erreurs courantes | Dépannage | Tarification | Alternatives
Pourquoi faire confiance à ce guide ?
I have used Hume AI for eight months across client work and side projects.
Every step below came from my own screen, not a press kit.

Hume AI is a voix and emotion platform built on one idea.
Speech carries feeling, and most texte to speech tools throw that feeling away.
This article shows you how to use Hume AI feature by feature.
Steps, screenshots, and the mistakes I made so you can skip them.
Tutoriel Hume AI
This How to Use Hume AI tutorial walks through every feature, from signing up to running the API in production.

Hume IA
Give your product a voix that actually sounds like it means something. Hume AI generates expressive speech from a written prompt and reads emotion back from voice, face, and text. The free tier includes 10,000 characters of text to speech every month.
Premiers pas avec Hume AI
Do this once and every feature below opens up.
Cela prend environ trois minutes.
Here is what the platform looked like on my first run:

Passons maintenant en revue chaque étape.
Étape 1 : Créez votre compte
Go to the Hume AI website and click sign up.
Enter your email and set a password.
✓ Point de contrôle: A confirmation email lands in your boîte de réception.
Étape 2 : Explorer le tableau de bord
Sign in and you land on the platform home screen.
Two paths sit in front of you: the web interface for clicking, and the API for code.
Here is what the main areas cover:

✓ Point de contrôle: You can see TTS, EVI, and the docs in the sidebar.
Step 3: Copy Your API Key
Open the profile menu in the top right corner and choose API keys.
Generate a key and paste it straight into your gestionnaire de mots de passe.
Hume AI’s API takes that key as a header on every request.
The web interface does not need it at all.
✅ Terminé : Your account is live and you can use any feature below.
Comment utiliser Hume AI Octave TTS
Octave TTS lets you turn a plain script into speech that carries real emotion.
Voici comment l'utiliser étape par étape.
Étape 1 : Collez votre script
Open the TTS page and paste your script into the text box.
Keep it under 200 words for your first test.
Step 2: Write a Voice Prompt
Describe the voice you want in one line.
Try “tired night-shift nurse, warm, slightly hoarse” instead of picking a default.
The cool thing is that Octave TTS reads the description and acts on it.
Putting the script and the voice prompt together takes about a minute.
Voici à quoi cela ressemble :

✓ Point de contrôle: A waveform appears with a play button under your script.
Step 3: Generate and Adjust
Press generate, then play the clip and listen.
Do not worry if the first take sounds flat.
Nudge pas and speed until the sound matches your scene.
✅ Résultat : You have a finished audio file in your chosen voice.
💡 Conseil de pro : Describe emotion in the voice prompt, not in the script. The model reads both, and stage directions inside the text sometimes get spoken out loud.
Comment utiliser l'interface vocale empathique Hume AI (EVI)
EVI lets you build a real time chat agent that hears how you feel.
Voici comment l'utiliser étape par étape.
Step 1: Open the EVI Playground
Pick EVI from the platform sidebar and start a new session.
Connect your microphone when the browser asks.
Step 2: Set the System Prompt
Tell the agent who it is and how it should speak.
Pick a scenario, describe it in plain words, and let the agent play that part.
A support agent and a game character need very different instructions.
Voici à quoi cela ressemble :

✓ Point de contrôle: The emotion meter moves while you talk.
Step 3: Talk and Watch the Meter
Speak a full sentence, then pause and let it answer.
The side panel shows which emotions it picked up from your voice.
✅ Résultat : You have a working empathic agent you can test end to end.
💡 Conseil de pro : Test EVI in a quiet room first. Background noise skews the emotional expression readings before you ever hear the reply.
Comment utiliser l'API de mesure des expressions Hume AI
Le API de mesure d'expression scores emotional expression across audio, video, and text.
Voici comment l'utiliser étape par étape.
Step 1: Grab Your API Key
Your API key sits in the profile menu in the top right corner of the screen.
Copy it once and store it somewhere safe.
Étape 2 : Téléchargez vos fichiers multimédias
Send a batch job with your files, or stream them for real time analysis.
The Batch API handles recorded media, while the Streaming API handles live input.
One job can analyze audio, video, and text in the same process.
Voici à quoi cela ressemble :

✓ Point de contrôle: Your job status flips from queued to completed.
Étape 3 : Lire le résultat
Each result returns emotion labels with a score between zero and one.
Sort by score to find the strongest expressive behavior in the clip.
✅ Résultat : You have structured emotion données you can chart or store.
💡 Conseil de pro : Facial expression scores need a clear picture of the face. Side angles and low light drop accuracy fast.
Comment utiliser la voix conversationnelle Hume AI
Voix conversationnelle gives an agent low-latency speech that sounds natural.
Voici comment l'utiliser étape par étape.
Étape 1 : Choisir une voix
Parcourir the voice library or load a voice you saved earlier.
Pick one that fits the character your agent is playing.
Step 2: Wire Up the Endpoint
Point your app at the speech endpoint and pass your API key.
Stream text in as it is generated instead of waiting for the full reply.
Voici à quoi cela ressemble :

✓ Point de contrôle: Audio starts before the full sentence finishes generating.
Step 3: Measure the Delay
Time the gap between your last word and the first sound back.
Anything under a second feels like a normal conversation.
✅ Résultat : Your agent now speaks without an awkward pause.
💡 Conseil de pro : Send short sentences. Long paragraphs delay the first chunk of audio and break the illusion of a real conversation.
Comment utiliser Hume AI TTS Creator Studio
Studio de création TTS lets you assign different voices to each line of a script.
Voici comment l'utiliser étape par étape.
Step 1: Start a Project
Create a new project and paste your full script.
Break it into one line per speaker.
Step 2: Assign a Voice Per Line
Click any line and pick the voice for that character.
Mixed casting is where this feature earns its keep.
Voici à quoi cela ressemble :

✓ Point de contrôle: Each line shows its assigned voice name beside it.
Étape 3 : Rendu et téléchargement
Render the whole project, then download the audio as one file or per line.
Per-line export is easier to edit in a video timeline later.
✅ Résultat : You have a full scene voiced by different characters.
💡 Conseil de pro : Render one line at a time while you cast. Rendering the full script on every change burns credits for nothing.
How to Use Hume AI Empathic AI Models
Empathic AI Models adapt replies based on the emotions behind the words.
Voici comment l'utiliser étape par étape.
Step 1: Pick a Base Model
Open the models page and read what each one is built for.
Start with the general model before you go narrow.
Step 2: Feed It Context
Pass conversation history along with the current turn.
Without history the model loses the emotional thread.
✓ Point de contrôle: The same question gets different answers depending on tone.
Step 3: Tune the Response Style
Set how strongly the reply should mirror the detected mood.
Support teams usually want warm; sales teams usually want steady.
✅ Résultat : Your agent responds to feeling, not just keywords.
💡 Conseil de pro : Log the detected mood next to every reply. When something reads wrong, that log tells you whether the model misread the user or misused the reading.
Comment utiliser Hume AI Custom Voice Persona
Personnalité vocale personnalisée clones a voice from a recording as short as five seconds.
Voici comment l'utiliser étape par étape.
Step 1: Record a Clean Sample
Record five to thirty seconds of clear speech.
If the recording is too loud the model hears clipping instead of tone.
Step 2: Upload and Name It
Upload the clip and give the persona a name you will recognise later.
Confirm you have permission to clone that person.
✓ Point de contrôle: Your new persona appears in the saved voices list.
Étape 3 : Sauvegarder et réutiliser
Save the persona so it shows up across every project on your account.
You can also create voices from a written description with no recording at all.
✅ Résultat : You have a reusable voice you can call from any feature.
💡 Conseil de pro : Record the sample in the same emotional register you plan to use. A cheerful clone struggles to sound grave later.
Comment utiliser l'analyse multimodale de Hume AI
Analyse multimodale combines voice, face, and text signals in one pass.
Voici comment l'utiliser étape par étape.
Step 1: Upload a Video
Send a video file that contains both a visible face and clear speech.
Thirty seconds is plenty for a first test.
Step 2: Select Your Models
Tick the vocal, facial, and language models you want to run.
The platform is capable of running all three at once, which shows where they disagree.
✓ Point de contrôle: Three separate result sets return for the same clip.
Step 3: Compare the Tracks
Line up the three result tracks against the same timestamps.
Disagreement between face and voice is usually the interesting part.
✅ Résultat : You can see how someone looked and sounded at the same moment.
💡 Conseil de pro : A face saying one thing while the voice says another is not an error. Sarcasm, politeness, and nerves all look exactly like that.
Conseils et raccourcis pour Hume AI Pro
After eight months of testing, these are the shortcuts I actually use.
Experiment on the free tier first, since new tools ship here often and the docs carry a working example for each one.
Raccourcis clavier
| Action | Raccourci |
|---|---|
| Generate current script | Ctrl + Entrée |
| Play or pause last clip | Barre d'espace |
| Duplicate a script line | Ctrl + D |
| Undo a bad render | Ctrl + Z |
Fonctionnalités cachées que la plupart des gens ignorent
- Voice prompt stacking: Describe age, mood, and accent in one line and the model blends all three aspects.
- Five-second cloning: A short recording is enough to create a persona, so you do not need a studio session.
- Emotion overlays on video: Run a clip through Expression Measurement and the labels line up against the timeline.
Erreurs courantes à éviter en matière d'IA Hume
Mistake #1: Writing emotion into the script
❌ Faux : Typing (angrily) or (whispers) inside the text, which often gets read out loud.
✅ À droite : Put the emotion in the voice prompt and keep the script to spoken words only.
Mistake #2: Treating emotion scores as a verdict
❌ Faux : Flagging a customer as angry because one number crossed a line.
✅ À droite : Read the scores as a signal across a whole call, then let a human decide.
Mistake #3: Cloning a voice you do not own
❌ Faux : Pulling a clip off YouTube and training a persona on someone else’s voice.
✅ À droite : Get written consent, or design a voice from a description instead of a recording.
Dépannage de l'IA Hume
Problem: The generated voice sounds flat
Cause: You used a default voice with no voice prompt attached.
Réparer: Write one line describing the speaker, then generate again and compare the two takes.
Problem: Your API key returns 401
Cause: The key was copied with a trailing space, or it belongs to a different project.
Réparer: Regenerate the key, paste it fresh, and confirm the project matches your account.
Problem: The clone does not sound like the person
Cause: The sample had music, room echo, or two people talking over each other.
Réparer: Record a fresh sample in a quiet room and keep the level below clipping.
📌 Note: If none of these fix it, contact Hume AI support with your job ID.
Qu'est-ce que l'IA Hume ?
Hume IA is an artificial intelligence platform for expressive speech and emotion measurement.
Think of it like a voice actor and a body-language reader working from the same brief.
Here is my full walkthrough of the platform:
The technology covers these key features:
- Octave TTS : A speech-language model that generates voices and personalities from a written prompt.
- Interface vocale empathique (EVI) : A conversational layer that reads vocal cues and replies with matching warmth.
- API de mesure d'expression : An API that identifies and tracks over 25 distinct emotions across media.
- Voix conversationnelle : Speech-to-speech output built for agents that must reply without lag.
- Studio de création TTS : A project script editor that assigns custom voices to dialogue lines.
- Empathic AI Models: Models that read emotional context and shift their replies to match.
- Personnalité vocale personnalisée : clonage vocal that builds a usable persona from five seconds of audio.
- Analyse multimodale : Combined analysis of vocal, facial, and written signals in a single job.
Hume was founded on research into how emotional intelligence shapes conversation.
That research is why the models read tone instead of only reading words.
The same ability helps people who have lost their voices to medical conditions.
For a deeper look, see our Avis sur Hume AI.

That snapshot covers the whole platform at a glance.
Tarification de l'IA Hume
Here is what Hume AI costs in 2026:
| Plan | Prix | Idéal pour |
|---|---|---|
| Gratuit | $0 | Tester les bases |
| Démarreur | $3 | Hobby projects |
| Créateur | $14 | Regular video and audio work |
| Pro | $70 | travailleurs indépendants shipping client work |
| Échelle | $200 | Small teams in production |
| Entreprise | $500 | High-volume API use |
| Entreprise | Contactez le service commercial | Custom models and support |
Essai gratuit : Yes, the free tier gives you 10,000 characters of text to speech per month.
Garantie de remboursement : Not advertised, so test on the free tier before you pay.

💰 Meilleur rapport qualité-prix : Creator at $14 — enough volume for weekly content without jumping to $70.
Hume IA contre les alternatives
How does Hume AI compare against the rest of the voice market?
| Outil | Idéal pour | Prix | Notation |
|---|---|---|---|
| Hume IA | Emotional range and API depth | 3 $/mois | ⭐ 4.2 |
| ElevenLabs | Raw voice quality | 5 $/mois | ⭐ 4,7 |
| Murf | Studio editing | 29 $/mois | ⭐ 4,5 |
| Discourir | Écouter des documents | 11 $/mois | ⭐ 4,4 |
| Description | Édition basée sur la transcription | 24 $/mois | ⭐ 4,5 |
| Jouer.ht | Taille de la bibliothèque vocale | 39 $/mois | ⭐ 4,3 |
| Lovo | Video and subtitles | 24 $/mois | ⭐ 4.2 |
Sélection rapide :
- Meilleur résultat global : Hume AI — nothing else pairs voice generation with emotion data.
- Meilleur budget : TTSOpenAI — free for short clips and no signup.
- Idéal pour les débutants : Speechify — you press play and it just reads.
- Best for film and games: Modifié — built for performance transfer.
🎯 Alternatives à Hume AI
Looking for Hume AI alternatives? Here are the options worth a test:
- 🚀 TTSOpenAI : Fast browser text to speech with no account needed for short clips.
- 🎨 Murf : Studio-style editor pairing voice, video, and music on one timeline.
- 💰 Discourir: Reads articles and files aloud on any device, built for listening.
- 🔧 Description : Edit audio by editing the transcript, plus solid video tools.
- 🌟 ElevenLabs : The closest rival on raw voice quality and cloning range.
- ⚡ Jouer.ht : Big voice library with a clean API for developers.
- 🎯 Lovo : Genny studio covers script, voice, and subtitles together.
- 💼 Listnr : Turns blog posts into podcast episodes with hosting included.
- 🎤 Podcastle: Browser recording studio with cleanup baked in.
- 🧠 Doublage: Talking avatars and dubbing across many languages.
- 🏢 Laboratoires WellSaid: Enterprise narration with tight brand voice control.
- 🔥 Revoice: Emotion presets you pick from a dropdown instead of a prompt.
- 🔒 Haut-parleur de lecture: Accessibility-first reading for websites and education platforms.
- 👶 Lecteur naturel: Simple reader for students and anyone with a stack of PDFs.
- ⭐ Modifié : Speech-to-speech performance transfer for film and games.
- 📊 Speechelo: One-time payment voiceover tool for marketing videos.
Pour la liste complète, consultez notre Alternatives à Hume AI guide.
⚔️ Comparaison de l'IA Hume
Here is how Hume AI stacks up against each competitor:
- Hume AI contre TTSOpenAI: Hume AI wins on emotional range; TTSOpenAI wins on speed and zero setup.
- Hume IA contre Murf: Murf has the better editor. Hume AI has the better acting.
- Hume AI contre Speechify : Speechify is for reading to you. Hume AI is for building products.
- Hume IA vs Descript: Descript edits your existing audio. Hume AI generates it from scratch.
- Hume AI contre ElevenLabs: ElevenLabs holds the voice-quality crown; Hume AI reads and returns emotion data.
- Hume AI contre Play.ht : Similar API depth, but only Hume AI measures emotional expression.
- Hume AI contre Lovo : Lovo bundles subtitles and video. Hume AI goes deeper on tone.
- Hume AI vs Listnr: Listnr publishes podcasts. Hume AI powers real time agents.
- Hume IA contre Podcastle: Podcastle records people. Hume AI replaces the recording entirely.
- Hume AI contre Dupdub: Dupdub leads on dubbing and avatars; Hume AI leads on empathy.
- Hume AI contre WellSaid Labs: WellSaid suits locked-down brand voices. Hume AI suits expressive characters.
- Hume AI contre Revoicer: Revoicer gives you preset emotions. Hume AI takes a written voice prompt.
- Hume AI contre ReadSpeaker: ReadSpeaker serves accessibility teams. Hume AI serves product and media teams.
- Hume AI contre NaturalReader: NaturalReader is cheaper for reading. Hume AI is stronger for creating.
- Hume IA contre Altéré: Altered transfers your performance. Hume AI invents one from a description.
- Hume AI contre Speechelo: Speechelo is a one-time buy. Hume AI is a platform with an API.
Commencez à utiliser Hume AI dès maintenant
You now know how to use every major Hume AI feature:
- ✅ Octave TTS
- ✅ Interface vocale empathique (EVI)
- ✅ API de mesure d'expression
- ✅ Voix conversationnelle
- ✅ Studio de création TTS
- ✅ Empathic AI Models
- ✅ Personnalité vocale personnalisée
- ✅ Analyse multimodale
Étape suivante : Pick one feature and try it today.
La plupart des gens commencent avec Octave TTS.
Honestly, one good voice prompt is all it takes to hear the difference.
Foire aux questions
Comment utiliser la synthèse vocale Hume ?
Sign up, open the TTS page, paste your script, then write a short voice prompt describing the speaker. Press generate, play the clip, and download the audio.
À quoi sert l'IA Hume ?
It generates expressive speech and measures human emotions from voice, facial expression, and text. Teams use it for agents, game characters, call centres, and media.
Combien coûte Hume AI ?
Plans run Free at $0, Starter at $3, Creator at $14, Pro at $70, Scale at $200, and Entreprise at $500. Enterprise pricing is contact sales.
L'IA de Hume est-elle sûre ?
It is a standard commercial API with documented terms. Only clone a voice you own or have written permission to use, since cloning needs just five seconds.
Hume AI est-il un logiciel libre ?
No. The models are closed and accessed through the hosted platform or the API. Client libraries and sample code are public, but the weights are not.













