ai-coustics alternatives for voice agents and call centers (2026)

Short answer. The main alternatives to ai-coustics Quail Voice Focus for primary-speaker isolation in October 2026 are Krisp VIVA (server SDK, 15 ms on CPU, price not public), AssemblyAI Voice Focus (an option inside its streaming STT, +$0.10 per hour), LiveKit Cloud voice isolation ($0.0012 per minute after included minutes, which itself runs Krisp or ai-coustics models), NVIDIA Speaker Focus (GPU, early access) and Anecho v8_2 (in-process SDK, 15 ms on CPU, $0.0010 per minute after 10,000 free minutes a month). On our own live-conversation benchmark, v8_2 and Quail VF 2.2 S are at parity with faster-whisper base.en and a v8_2 lead with Gemini Live input transcription; which one leads also depends on the microphone and the room, and VF S triggers fewer false barge-ins.

We sell one of the alternatives, so read this as a vendor's post. Every vendor fact links to the vendor's own page, accessed in October 2026; prices are as listed on 2026-10-20. Unlike Krisp and AssemblyAI, ai-coustics is on our benchmark, run through the licensed SDK as a reference, so this post can quote measurements, with their conditions. The all-vendor table is in speaker isolation SDKs compared (2026).

What ai-coustics offers

ai-coustics' model reference lists Quail Voice Focus 2.2 in S and L sizes at a native 16 kHz, described as targeting "one primary speaker for machine listening", next to Quail Multi Speaker (which keeps several participants), Rook models for human listeners, VAD models and Tyto audio-quality analysis (docs.ai-coustics.com). The SDK accepts 8 to 192 kHz and resamples internally (models guide), with bindings for Python, Node.js, C, Rust and WASM, and integrations with LiveKit and Pipecat. It is also one of the models in LiveKit Cloud's voice-isolation slot (livekit.com/pricing).

Why people look for alternatives

These are factual reasons, not a judgement of the product.

• Committed annual tiers. The pricing page lists Startup at $135 a month for 100,000 minutes, Pro at $360 (300,000) and Business at $540 (500,000), billed annually; Startup is $1,620 a year (ai-coustics.com/pricing). A team with a few thousand minutes a month pays the floor, and the effective per-minute rate depends on how much of the tier it uses.
• Offline licences sit at Enterprise. Offline or air-gapped licence options are listed on the Enterprise tier, from $2,000 a month.
• Latency budget. The paid tiers list "real-time processing" under 30 ms. Krisp VIVA and Anecho declare 15 ms. Whether the difference matters depends on your end-to-end budget.
• Native rate. Voice Focus is native 16 kHz; other rates go through the SDK's internal resampler. That is the same native rate as Krisp's default model and ours, so it is a reason to test, not a reason to switch.

The shortlist

Alternative	Where it runs	Declared latency	Public price (as listed on 2026-10-20)	Self-serve	Primary-speaker isolation	Measured by us
Krisp VIVA, Voice Isolation 2.5	Server-side, on-prem or your cloud, CPU	15 ms	Not public (apply); resold at $0.0015/min after 10,000 free on Pipecat Cloud	No, apply for access	Yes	No
AssemblyAI Voice Focus	Cloud, inside streaming STT	Not published	+$0.10/hr ($0.0017/min) on Universal-3.6 Pro Realtime	Yes, $50 free credit	Yes	No
LiveKit Cloud voice isolation	LiveKit Cloud (Krisp VIVA or ai-coustics Voice Focus 2.1)	Not published	$0.0012/min after included minutes (Build 100, Ship 1,000, Scale 10,000)	Yes, with a plan	Yes	Only its ai-coustics model
NVIDIA AFX SDK, Speaker Focus	NVIDIA GPU	Not published	Not published	Early Access program	Yes	No
Anecho v8_2	In-process on your servers, CPU; hosted API	15 ms	$0.0010/min after 10,000 free min/month, down to $0.0005; no monthly floor	Yes, instant key, no card	Yes	Yes (our own)
Picovoice Koala	On-device	Not published	Not published	Free AccessKey sign-up	No, noise suppression	No
DeepFilterNet / GTCRN	Anywhere	Not published	Free (open source)	Yes	No, noise suppression	Yes

Sources: Krisp voice isolation, Krisp developer pricing, Pipecat Cloud pricing, AssemblyAI Voice Focus docs, AssemblyAI pricing, LiveKit pricing, LiveKit noise cancellation docs, NVIDIA Speaker Focus, Picovoice Koala docs, DeepFilterNet, GTCRN, and for our row /docs/sdk and /pricing. All accessed October 2026.

The alternatives, briefly

• Krisp VIVA. Voice Isolation 2.5 plus turn prediction, interruption prediction, VAD and signal detectors, 15 ms on CPU, 16 kHz (HD 32 kHz), SDKs for Python, Node.js, Go and iOS. Marketed as isolating the primary speaker's voice. Access by application. We have not measured it.
• AssemblyAI Voice Focus. A voice_focus parameter on streaming transcription, near-field or far-field. If AssemblyAI is your recogniser it is a toggle; it does nothing for audio sent elsewhere. We have not measured it.
• LiveKit Cloud voice isolation. If you are on LiveKit Cloud, you may already be one setting away from ai-coustics or Krisp at $0.0012 per minute, with no separate contract.
• NVIDIA Speaker Focus. 16 or 48 kHz, early access, GPU throughput published from T4 to B100.
• Koala, DeepFilterNet, GTCRN. Noise suppression, not isolation.

Where Anecho fits, and where it does not

Anecho and ai-coustics Voice Focus are close in shape: an SDK you load into your own process, primary-speaker isolation, native 16 kHz. The commercial differences are a pay-as-you-go ladder with no monthly floor (10,000 minutes free, then $0.0010 per minute) and 15 ms of algorithmic delay. The quality differences we can state, because we measured them, all come from /benchmark and depend on the condition.

On 200 constructed live conversations (real voices and measured rooms, mixed by us, scored by two recognisers):

• With faster-whisper base.en it is parity. v8_2 − Quail VF 2.2 S is −0.13 pp [−4.56, +4.47], and with this recogniser neither engine beats the untouched audio pooled (raw 37.82%, v8_2 38.46%, VF S 38.59%).
• With Gemini Live input transcription v8_2 leads. v8_2 − VF S is −6.47 pp [−9.89, −3.26], and v8_2 beats the untouched audio pooled (raw 40.50%, v8_2 36.40%, VF S 42.87%).
• v8_2 leads with a close-mic talker and a loud background. With background voices as loud as the talker, v8_2 scored 37.19% WER against 55.94% for VF S; most of the gap is VF S deleting the talker's own words.
• VF S leads with a distant talker. With the talker 0.5 to 1.5 m from the microphone, VF S leads by +9.58 pp [+5.52, +13.90] with faster-whisper; with Gemini Live it leads at −10 dB (+7.74 pp [+2.48, +12.77]) and the room pool is parity.
• VF S leads on pause suppression. It suppressed background voices by 17.4 dB in the talker's pauses, against 8.5 dB for v8_2, and let fewer background words into the transcript (0.94 per 100 words, against 1.74).
• VF S leads on false interruptions. Under Gemini Live it triggered 52 false barge-ins against 125 for v8_2 and 97 for the untouched audio.

On our 19-condition clip matrix, ai-coustics Quail L, a plain noise model, is the closest engine to the untouched audio: 15.18% WER against 16.59% for v8_2, 17.59% for Quail VF 2.2 L and 14.32% for raw. Nothing beats raw there either.

So Anecho fits when your callers are on headsets or phones in loud places, when you want to start without a commitment, or when you want a published per-minute price at any volume (voice isolation pricing in 2026). It does not fit, or not yet, when your talkers are distant and the room is reverberant, when silence between turns or false interruptions matter most, when your audio is one talker in plain noise (a noise model is the matching tool), or when you need ai-coustics' wider line-up from one vendor: multi-speaker models, 8 and 48 kHz native models, audio-quality scoring, or C, Rust and WASM bindings. We ship one 16 kHz model for Node and Python.

Constructed mixes and two recognisers are not your calls. Run both on your own traffic against a do-nothing control, as in how to evaluate speaker isolation; the dashboard gives you a key and 10,000 minutes a month to do it.

FAQ

What is the closest alternative to ai-coustics Quail Voice Focus?

By deployment model, an in-process CPU SDK with primary-speaker isolation: Krisp VIVA (15 ms, price not public) or Anecho v8_2 (15 ms, published price). If you are on LiveKit Cloud, its voice-isolation slot runs ai-coustics or Krisp at $0.0012 per minute after included minutes.

Is Anecho better than ai-coustics?

It depends on the recogniser and the condition. On our live-conversation benchmark the pooled result is parity with faster-whisper base.en (−0.13 pp [−4.56, +4.47]), where no engine beats the untouched audio, and a v8_2 lead with Gemini Live input transcription (−6.47 pp [−9.89, −3.26]). v8_2 leads with a close-mic talker and a loud background; Quail VF 2.2 S leads with a distant talker, on pause suppression and on false barge-ins; Quail L leads on plain noise.

How much does ai-coustics cost?

As listed on 2026-10-20: Startup $135 a month (100,000 minutes), Pro $360 (300,000), Business $540 (500,000), billed annually, and Enterprise from $2,000 a month.

Is there an ai-coustics alternative without a monthly commitment?

Yes. Anecho bills per minute with no floor (10,000 minutes free a month, then $0.0010), AssemblyAI bills Voice Focus per hour of streaming, and LiveKit Cloud meters voice isolation at $0.0012 per minute past a plan's included minutes.

Have you measured Krisp or AssemblyAI against ai-coustics?

No. Of the vendors in this post, only ai-coustics, the open-source baselines and our own model are on our benchmark.