Top 10 Voice AI Agents Detecting Emotions Through Voice Tones

10 Best Voice AI Agents Detecting Emotions Through Voice Tones

1. VoiceGenie.ai

• Best For: Sales & customer-service teams in global enterprises

• Features: Detects tone and sentiment; supports 100+ languages; adaptive empathy; voice cloning; telephony integration.

• Pricing: 7‑day free trial with 30 voice‑minutes; subscription + usage-based and optional phone‑number add‑ons (approx. from $50/month).

• Pros: Quick ROI in sales; scales globally; human-like interactions

• Cons: Custom pricing; may require integration time

• Highlights: Easily adds empathy to outreach calls, reducing customer friction

2. Hume AI EVI (Empathic Voice Interface)

• Best For: Healthcare, mental health, wellness apps

• Features: Real-time emotion detection; expressive TTS; multi-language (English & Spanish); low-latency responses.

• Pricing:
• EVI 1: $0.102/min
• EVI 2: $0.072/min (approx. $4.32/hr)
• EVI 3 & Enterprise: TBA, with volume discounts
• Freemium voice model starter plan: from $0–$900+/mo.

• Pros: Deep emotion insight; responsive voice tone; ethical guidelines via Hume Initiative

• Cons: Can misread subtle or masked emotions; specialized for English/Spanish currently.

• Highlights: Converts user tone into emotional cues—ideal for calming anxious users in real-time.

3. Beyond Verbal

• Best For: Market research, telecom, mental health monitoring

• Features: Analyzes tone, pitch, arousal; provides emotional "biomarkers"; robust research-grade models.

• Pricing: Custom enterprise-level pricing (typically higher tier)

• Pros: Scientific-grade accuracy; widely used in wellness and UX studies

• Cons: Requires technical integration; pricing may be steep for SMEs

• Highlights: Over 2.5 million voice samples analyzed; 8+ patents in emotion detection

4. ElevenLabs Conversational AI

• Best For: Content creators, dubs, interactive media, story-driven apps

• Features: Expressive TTS, high voice quality, instant & pro voice cloning, multilingual support; adaptive emotional tone.

• Pricing:
• Free: 10 k credits/mo (~10 min TTS
• Starter: $5/mo (30 k credits)
• Creator: $22/mo (100 k); Pro & higher tiers up to $1,320/mo

• Pros: High fidelity audio; cost-effective tiers; developer-friendly

• Cons: Credits-based model may be confusing; deeper features in higher tiers

• Highlights: Emotional nuance via voice cloning makes content feel alive

5. SoundHound Amelia 7.0

• Best For: Enterprise-grade customer service across sectors (finance, auto, healthcare)

• Features: Autonomous conversational agents; emotional tone recognition; action-based AI with low latency; multi-step workflows.

• Pricing: Implementation costs vary—starting from several thousand to tens of thousands.

• Pros: Self-service, efficient, advanced orchestration (Agentic+), enterprise-ready

• Cons: High initial investment; complexity in setup

• Highlights: 101% YoY revenue growth; powers voice agents in automotive, finance, restaurants.

6. Vern AI

• Best For: Customer support centers, training & QA teams

• Features: Detects specific emotions (anger, joy, love); scores emotional intensity; integrates with call analytics.

• Pricing: Likely tiered enterprise model (info via vendor)

• Pros: Emotion scoring helps coach agents and escalate issues

• Cons: No transparent public pricing; integration may be needed

• Highlights: Enables pinpoint feedback for training based on caller sentiment

7. SoftBank Emotion‑Cancelling Engine

• Best For: BPOs, stressful customer-service centers

• Features: Filters remote negative tone; neutralizes speech before delivery to agents

• Pricing: Custom/B2B; details from SoftBank partners

• Pros: Reduces agent stress; protects customer privacy

• Cons: Ethical debate: masking real emotions; limited public info

• Highlights: Pioneering solution that shields agents from emotional extremes

8. OpenSMILE (audEERING)

• Best For: Developers, academic researchers, custom voice bots

• Features: Feature extraction for pitch, energy, tone; open-source; integration-ready

• Pricing: Free/open-source; commercial support available if needed

• Pros: Highly configurable; trusted by researchers

• Cons: Requires technical expertise to build end-to-end solution

• Highlights: Backbone tool for custom emotion recognition pipelines

9. Lindy Voice Agent

• Best For: Sales teams, small businesses

• Features: No-code builder; sentiment-aware dialogue flows; lead scoring based on emotional cues

• Pricing: Typical tiers: free/basic; pro tiers ~ $99–$499/mo

• Pros: Easy to deploy; boosts empathy in sales outreach

• Cons: Limited customization vs. coded systems

• Highlights: Ideal for small-to-mid sales teams wanting emotion-led outreach

10. RVC Emotional Voice Conversion

• Best For: Media dubbing, entertainment, spoken content creators

• Features: Converts neutral voice to emotional speech in real time; preserves intonation and character

• Pricing: Likely usage-based; expect $0.05–$0.30/min in API use

• Pros: Adds emotional depth to automated voice tracks

• Cons: Audio quality varies by emotional range; model tuning needed

• Highlights: Ideal for adding human touch to voiceovers and dubbing

Why Your Business Needs Voice AI Agents Detecting Emotions Through Voice Tones?

● What do these agents enable?

● How do they work?

● Why does it matters?

● Does it really help ROI?

How to Adopt Voice AI in 2025?

1. Define your goals (e.g., reduce churn or increase empathy).

2. Choose the right agent (e.g., VoiceGenie for sales; Hume EVI for mental health).

3. Pilot in a controlled environment.

4. Train models on your voice data — fine-tune emotional accuracy.

5. Monitor impact on KPIs like NPS, CSAT, AHT.

Conclusion