English translation is being prepared.
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary

Matched fieldsSummary
Matched fieldsSummary

Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary

Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary

Matched fieldsSummary、Body
Matched fieldsSummary、Body

Matched fieldsSummary
On October 30, 2026, Edge0 released the open-source-weight voice cloning TTS model Audio8-TTS-Realistic. According to a MarkTechPost report, the model has 601M parameters, supports 23 languages, and its weights and code are released under Apache 2.0. The model requires only one reference audio clip and its corresponding text to perform zero-shot voice cloning, and can also generate speech directly when no reference voice is available. Self-reported results show that its average error rate on the CV3 nine-language benchmark is 4.86%, lower than Qwen3-TTS-1.7B's 7.73%; however, on the MiniMax benchmark it lags behind 4B-class models, with Thai WER reaching 48.57%. There are currently no further developments.
On October 30, 2026, Edge0 released the open-source-weight voice cloning TTS model Audio8-TTS-Realistic. According to a MarkTechPost report, the model has 601M parameters, supports 23 languages, and its weights and code are released under Apache 2.0. The model requires only one reference audio clip and its corresponding text to perform zero-shot voice cloning, and can also generate speech directly when no reference voice is available. Self-reported results show that its average error rate on the
Matched fieldsTitle
On October 30, 2026, Edge0 released the open-source-weight voice cloning TTS model Audio8-TTS-Realistic. According to a MarkTechPost report, the model has 601M parameters, supports 23 languages, and its weights and code are released under Apache 2.0. The model requires only one reference audio clip and its corresponding text to perform zero-shot voice cloning, and can also generate speech directly when no reference voice is available. Self-reported results show that its average error rate on the CV3 nine-language benchmark is 4.86%, lower than Qwen3-TTS-1.7B's 7.73%; however, on the MiniMax benchmark it lags behind 4B-class models, with Thai WER reaching 48.57%. There are currently no further developments.
Matched fieldsTitle
View story:Edge0 releases 0.6B voice cloning TTS model Audio8-TTS-Realistic
Artificial Analysis's evaluation shows that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with a score of 87.1, narrowly ahead of xAI's Grok Voice 3.0 (86.9 points). In the same evaluation, Phonic 1 ranks first on the Tau Voice agent tasks with 79.9%, leading the second place by 5.4 percentage points; on Big Bench Audio it ranks third with 98.9%, with a first-audio latency of 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing $0.07 per minute and $4.20 per hour. Another report states that Phonic is a 10-person startup, which claims that Phonic-1 can execute queries and bookings before the caller has finished speaking; the report also mentions that Phonic claims a score of 90.2 on the Cekura call test set, while the public Cekura leaderboard lists Phonic v1 at 68.3%.
Artificial Analysis's evaluation shows that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with a score of 87.1, narrowly ahead of xAI's Grok Voice 3.0 (86.9 points). In the same evaluation, Phonic 1 ranks first on the Tau Voice agent tasks with 79.9%, leading the second place by 5.4 percentage points; on Big Bench Audio it ranks third with 98.9%, with a first-audio latency of 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing
Matched fieldsTitle
Artificial Analysis's evaluation shows that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with a score of 87.1, narrowly ahead of xAI's Grok Voice 3.0 (86.9 points). In the same evaluation, Phonic 1 ranks first on the Tau Voice agent tasks with 79.9%, leading the second place by 5.4 percentage points; on Big Bench Audio it ranks third with 98.9%, with a first-audio latency of 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing $0.07 per minute and $4.20 per hour. Another report states that Phonic is a 10-person startup, which claims that Phonic-1 can execute queries and bookings before the caller has finished speaking; the report also mentions that Phonic claims a score of 90.2 on the Cekura call test set, while the public Cekura leaderboard lists Phonic v1 at 68.3%.
Matched fieldsTitle
View story:Artificial Analysis ranks Phonic 1 first on the Speech to Speech Index
Matched fieldsTitle